The Socio-Cognitive Dynamics of Entrepreneurial Ideation
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Sociology,as a discipline,is the scientific study of society,patterns of social relationships,social interaction,and culture that surrounds everyday life.It seeks to understand how societies are structured,how they function,and how they change over time.Here are some key aspects that can be explored in an essay on sociology:1.Definition and Scope:Begin by defining sociology and its scope,explaining how it differs from other social sciences.Discuss the various subfields within sociology,such as urban sociology,family sociology,and industrial sociology.2.Historical Development:Trace the history of sociology from its early roots in the works of thinkers like Auguste Comte and Herbert Spencer to the establishment of sociology as a distinct academic discipline in the late19th and early20th centuries.3.Major Theoretical Perspectives:Explore the main theoretical frameworks in sociology, including functionalism,conflict theory,symbolic interactionism,and critical theory. Discuss how each perspective views society and social problems differently.4.Research Methods:Describe the various methods sociologists use to study society, such as surveys,experiments,participant observation,and content analysis.Discuss the strengths and limitations of each method.5.Sociological Concepts:Discuss important sociological concepts like socialization, social stratification,social mobility,and social institutions.Explain how these concepts help to understand the dynamics of society.6.Social Issues:Address current social issues that sociology can help to understand,such as poverty,crime,gender inequality,racial discrimination,and environmental concerns. Discuss how sociological theories and research can inform policy and social change.7.Sociology in Everyday Life:Illustrate how sociology is relevant to everyday life by providing examples of how sociological concepts can be applied to understand personal experiences and social interactions.8.The Role of Sociology in Society:Reflect on the role of sociology in society,including its contribution to public policy,education,and social reform.Discuss the importance of sociological knowledge in promoting social justice and understanding diversity.9.Ethical Considerations:Discuss the ethical considerations that sociologists must take into account when conducting research,such as informed consent,confidentiality,and the potential impact of their work on participants and society at large.10.Future Directions:Conclude by considering the future of sociology,including emerging areas of research and the challenges that sociologists may face in the coming years.Remember to support your essay with examples,case studies,and relevant sociological theories.Writing in clear,concise language and providing a wellstructured argument will help to make your essay engaging and informative.。
收稿日期:2005-10-01作者简介:1.卞建华(1969-),女,山东德州人,青岛大学副教授,博士,主要研究方向为翻译理论及翻译教学;2.崔永禄(1942-),男,河北任丘人,南开大学教授,博士生导师,主要研究方向为翻译理论和语言学。
功能主义目的论在中国的引进、应用与研究(1987 2005)卞建华1,崔永禄2(1.青岛大学外国语学院,山东青岛266071;2.南开大学外国语学院,天津300071)摘 要:中国译界对功能主义目的论的研究从引进、发展、直至深入,历经10余年,成果累累,而各家意见纷纭,有待梳理,以利于开展今后的研究。
基于此,本文对功能主义目的论在中国的传播、接受与研究做了较为系统的回顾和梳理,对其中存在的问题进行了反思,并对今后的研究提出了建议和展望。
关键词:功能主义目的论;引进;应用;研究中图分类号:H 059 文献标识码:A 文章编号:1002 722X (2006)05 0082 07A R evie w of the Introducti on ,App licati on and Study ofFuncti onalist Skopos Theory i n Chi na (1987-2005)B I AN Ji an hua 1,CU I Y ong l u 2(1.Co ll ege o f Fo re i gn L anguages ,Q i ngdao U n i v ers it y ,Q i ngdao ,Shandong P rov .,266071,Ch i na ;2.Co lleg e o f F ore i gn Languages ,N anka iU n i versity ,T ian ji n ,300071,Chi na)Abstrac t :It has been m ore than ten years si nce f unc tiona list skopos theory was first i ntroduced into Ch i na .G reat ach i eve m ents have been m ade i n its i n troduction ,appli cation and study .V ar i ous po i n ts o f view and t he proble m s that occurred in the pro cess o f its introduc tion ,appli ca tion and study need to be su mm ar i zed and ana l yzed f o r the sake o f a better st udy o f th i s theo ry .K ey word s :f uncti onali st skopos theo ry ;i ntroduction ;applica ti on ;study以赖斯(Kathar i n a Reiss)、弗米尔(H ans J .V e m eer)、曼塔莉(Justa H olz -M ntt ri)和诺德(Christi a ne Nord)为主要代表的功能主义目的论(functi o na list skopos theory),是 自20世纪70年代以来德国最具影响的翻译学派!(谭载喜,2004:255),是 西方翻译理论中的一支劲旅!(杨晓荣,2001),也是当今世界颇有影响力的翻译理论学派之一。
Sociology专业英语AActionAdaptationAgencyAlienationAnomieAuthoritarianismAgeismAssessmentAnimismAccounting practices Affectivity affective neutrality Achieved statusActing crowdActual social identity Affectual actionAge normsAge structureAnticipatory socialization Ascription—achievement Autopoietic system Authority bureaucratic Authority charismatic Authority dual行动适应能动力异化失范权威主义歧视评估泛灵论项目过程的实践情感中立自治地位行动群体社会认同情感性活动年龄规范年龄结构预期社会化先赋成就自我再生系统个体权威魅力感召性权威双重性权威BBehaviorismBiculturalismBureaucracyBureaucratizationBourgeoisieBreaching experimentsBecause motivesBehavioral illnessBehavioral oganismBehavioral roleBilateral descentBehavioral geneticsBorn criminalsBaby boom行为主义双重文化主义官僚体系科层制资产阶级破坏性实验原因动机行为缺陷行为有机体行为角色双边继嗣行为遗传与生俱来的罪犯婴儿潮CCapitalist Capitalism Census CharismaCode Communism Consummation Conflict perspective Conformity Correlation CrowdCult Counterculture Case studyCaste system资本家资本主义人口普查魅力符号共产主义完成冲突论视角遵从相关集群宗派反文化个案研究种性制Class divisionsClinical—activist modelCommunity controlComparative analysisConspicuous consumptionCrude birth rateCrude death rateCultural diffusionCultural integrationCultural lagCultural pluralismConversation of gestureConstuctivist perspectiveCollective conscienceCultural capitalCulture of poverty阶级分化临床行为者模式社区控制比较分析炫耀性消费粗出生率粗死亡率文化传播文化整合文化堕距文化多元论姿势对话建构观点集体意识文化资本贫穷文化Civic privatismD Deinstitutionalization Democracy Demography Denomination Depersonalization DelianceDeviant DiscriminationDogmaDualismDyadDysfunction Discourses Developmental questions Dual—earner families Dramaturgical perspective Disaster behavior Deviant subculture Disciplinary society Derian career Descriptive studies Dependent variable Dependency theory Dependent chains Democratic socialism Demographic transition Definition of the situation公民个人主义去机制化民主政体人口统计学宗派去个人化越轨行为越轨歧视教义教条二元论对偶组二人群体反功能话语演讲依赖比率拟剧论双职工家庭灾后行为越轨亚文化训规社会越轨生涯描述性研究因变量依赖理论依赖链民主社会主义人口转型情境定义EEcologyEcosystemEmigrationEndogamyEthnocentrismEthnomethodologyExogainyExploitationExpulsionEcological segregationEconomic capitovlEconomic concentrationEgalitarion familyEmpirical methodEstate systemEthnic groupExchange relationshipExtended family生态学生态系统处境移民内婚制种族中心主义本土方法论外婚制剥削驱逐生态隔离经济资本经济集中平权家庭经验性方法等级制民族群体交换关系拓展家庭FFedFecundityFertilityFieldFieldwork FigurationFormsFolkwaysFordismFalse consciousness Family of orientation Family of procreation Feminist theory时尚繁衍能力生育率场域理论田野调查构形形式社会习俗福特主义虚假意识出身家庭生育家庭女性主义理论Formal organizationFormal structureFunctionalist perspectiveFront stageFunctional differentiation正式组织正式结构功能主义视角前台功能式分化F lexible—system production GGangGayGemeinschaftGenderGenocideGerontology Governmentalities Generalized other Generation gapGenetic structuralism Group consciousnessHHomogamyHypothesisHysteresisHomaphobiaHealth care system Hawthorne effect Hierarchical observation HLVHorizontal mobility Horizontal stratificationLLatencyLobbyingLabeling theoryLabor theory of value Latent functionsLatent interestsLegal-rational authority Legitimate powerLevels of functionalLife expectancyLife spanLooking-glass selfMMeMegalopolis 弹性生产制度帮派男同性恋公社性别灭绝老年学治理性一般他人代沟本源结构主义群体意识同类婚假设滞后同性恋恐婚症医疗保健系统霍桑效应阶层式监视人体免疫缺陷病毒水平/横向流动水平分化潜在功能院外活动标签理论劳动价值理论潜功能/隐功能隐形利益法理性权威合法权益功能分析层次预期寿命生命跨度镜中自我客我大都会带IIdeologyIncestImpulseIndustrializationIngroupsInstinctsIntegrationInternalizationInvasionIdeal typeIllegitimate powerImpression managementIncest tabooIndependent variableIn—order—to motiveIndividual cultureInfant mortality rateInformal structureInstitutional racismInteractionist perspectiveInterest groupJJuvenileJuvenile delinquencyJob enlargementKKinshipNNativeNegotiationNetworksNonfunctionsNormalizationNeonatal mortality rateNonmaterial culture意识形态乱伦冲动工业化内群体本能整合内化侵入理想类型非法动机印象管理乱伦禁忌自变量企图的动机个人文化婴儿死亡率非正式结构制度化种族主义理解/理解社会学利益群体青少年青少年犯罪扩展工作亲属关系本国的协商谈判网络非功能正常化标准化新生婴儿死亡率非物质遗产Migration移民核心家庭Nonverbal communicate非语言沟通Nuclear familyMethodologyMobMonogamyMoralize ModernizationMale dominance Manifest function Manifest interests Market socialism Marriage gradientMass behaviorMass ultureMaterical social facts Matriarchal family Matrilineal descent Matrilocal residence Mechanical solidarity Means-ends rational action Migration rateMinority groupMixed economy Multicariate analysisOObjective culture OligarchyOutgroup Overurbanization Opportunity costs Organic solidarityQQualitative methodsQ uantitative methodsRRacism Rationalization ReflxicityReliabilityReligiosity ResocializationRole expectationRiot方法论暴民一夫一妻制道德论现代化男性装扮显功能显现利益市场社会主义婚姻倾度大众行为物质文化物质性社会事实母家庭母亲祭祀从妻居机械团结目标手段理性行为年移民率少数名族群体混合经济多变量分析客观文化寡头政治外群体过度城市化机会成本有机团结定性方法定量方法种族主义理性化反身性信度宗教虔诚再社会化角色期待骚乱PParticipant observationPartitionPatriarchyPersonalityPoliticsPolyandryPolygynyPost-fordismPredictabilityPrejudicePrestigeProfaneProletariatPatriarchal familyPatrilineal descentPatrilocal residencePattern maintenancePeer groupPersonality systemPlanned economyPlay stagePolitical partyPopulation projectionsPoverty levelPostindustrial sociologyPostindustrial societyPrimary groupPrimary socializationPublic opinionPopulation forecastRumorRandom samplingRational-legalReference groupResource mobilizationRevolutionary movementRove conflictRole setRole performanceRole taking参与观察政治区化父权体系人格政体一夫一妻制一夫多妻制后福特主义可预测性偏见声望世俗无产阶级父权家庭父系祭祀从夫居模式维持/维护同辈群体人格体系计划经济扮演期政党人口投影法贫困线后现代社会学后工业社会初级群体初级社会化公众舆论人口预测谣言随机抽样法理性权威参照群体资源动员革命运动角色冲突角色集角色扮演角色置换R itualSSuccessionSelf-segregation StereotypeStandpoint Secularization Superstructure SegregationSelfSparatismSexismStigmaSectSubcultureSactionSelf-control theory Sex ratioSocial devianceSocial disorganization Social interactionSocial control theory Social mobilitySocial movementSocial networkSocial stratification Social structure Sociocultural evolution Socioeconomic status Sociological imagination Structural mobility Symbolic interactionism仪式演替自我隔离刻板印象立场世俗化制约上层建筑自我分离主义性别主义/歧视污名教派亚文化自我控制性别比社会越轨社会解组社会互动社会控制理论社会流动社会运动社会网络社会分层社会结构社会文化进化论社会经济地位社会学想象力结构性流动符号互动论TTheismTotalitarianismTotemTotemismTriadTechnocratic thinkingTheories of everyday lifeTraditional actionT raditional authorityUUrbanismUrbanizationUtilitiesUtopianismUrban ecologistVValidityValue-rational actionVariablesVerstehenVertical mobilityVertical stratificationVital statisticsVictimless crimeVoluntary associationWWorld associationWorking class有神话集权主义图腾图腾崇拜三人群体技术专家思维日常生活理论传统型行为传统型权威城市生活方式城市化效益乌托邦思想城市生态学家效度价值理性行动变量理解垂直流动垂直分层动态流计无受害人犯罪志愿者协会世界体系工人阶级。
The Ethics of Deception: Why AI must study selfish behaviourMark LeeSchool of Computer Science,University of BirminghamBirmingham, B15 2TTUnited Kingdommgl@AbstractThe study of ethics is concerned with defining the rules governing social interaction.However,the first models of social interaction developed within Artificial Intelligence(AI)research were based on earlier theories concerning the structure and dynamics of conversation.This is not a unusual;conversation has long been held to be a paradigm case of social interaction and AI borrowed theo-ries from both the philosophy of language and socio-linguistics which merged social and linguistic behaviour.Central to such theories is a concept of cooperation.This paper will argue that such a cooperativistic view cannot account,specifically,for certain aspects of conversation and,more gen-erally,essential features of agent hood such as autonomy,conflict and choice.Instead,an account of social interaction based on rational self-interest is described which has been implemented in a AI program to reason about natural language.Such an account is argued to be a more promising foun-dation for an ethics of intelligent agents.IntroductionEthics,n.The doctrines of morality or social man-ners;the science of moral philosophy,which teaches men their duty and the reasons of it.1.A system of moral principles;a system of rulesfor regulating the actions and manners of menin society.(Webster’s)The study of ethics is concerned with how agents interact with each other in society.Clearly,if we are to take the concept of autonomous agents in AI seri-ously,then such ethical considerations must also be applied to such agents and how they interact:either with other artificial agents or human beings.Previ-ous work on the social interaction of artificial agents has been dominated by a cooperativistic par-adigm where altruistic agents passively adopt one another’s tasks as goals.Central to this account are concepts such as mutual belief and shared goals between agents.This paper will argue that the cooperative para-digm misses important aspects of agent hood in terms of architecture,social interaction and auton-omy.Essentially there is a contradiction between the concept of an autonomous agent and the naive view of cooperation as the default acceptance of other agent’s goals provided they do not contradict the satisfaction of one’s own goals.Instead,agents must be sensitive to the costs and benefits of help-ing others and,for true autonomy,intelligent agents must be capable of acting purely in their own interests, even if this requires conflicting with other agents.The cooperative paradigm has also been dominant in the pragmatics of dialogue:both in philosophical treat-ments and artificial intelligence.This has been due largely to the work of Grice and the Principle of Cooper-ation.Despite this influence,however,it has proven dif-ficult to actually computationally specify the principle in anything but the most trivial of terms.Instead,coop-eration has been adopted as a background assumption limiting the types of dialogue to be studied and the range of phenomena explained.However,recent work in dialogue understanding has stressed aspects of language use which cannot be accommodated within a cooperative framework.For example,irony,deception and topic avoidance are all aspects which require the speaker to be viewed as a rational self-motivated agent.This paper will argue that a similar view of social interaction is required.Rather than designing agents which are cooperative and pas-sively benevolent,it is essential to consider selfish,self motivated forms of behaviourfirst and then treat altru-ism as a special case.Language and agent hoodThefirst theories of social interaction in artificial intelli-gence took conversation as a starting point and task(for example[Cohen&Perrault,1979]).This should not be surprising since conversation requires interaction between agents:whether they are human or not.How-ever,conversation has been the paradigm case of socialinteraction due to a two way interaction between philosophy and sociology.For example,the work of Grice[1975]in philosophy attempted to explain how utterances could mean more than what they lit-erally said by a general principle governing behav-iour.Conversely,in sociology,conversational analysts such as Sacks and Schegloff[Sacks,et al., 1974]attempted to illustrate theories of social inter-action using aspects of conversational structure such as turn-taking and taking and maintaining the floor.As we shall see,the dominant paradigm within pragmatics has been the cooperative paradigm:lan-guage is essentially a cooperative process where understanding involves language users adopting and attempting to satisfy each other’s communica-tive goals.Such a view of understanding is compat-ible with current work in plan recognition (described in the next section)and has therefore been widely accepted by the AI community.How-ever,recent research in Artificial Intelligence has generalised linguistic cooperation to behavioural cooperation resulting in theories of agent interac-tion based purely on a naive view of cooperative behaviour as the default adoption of any other agent’s goals.The Cooperative Conception of Language in Philosophy Conversational implicatures are the extra linguistic aspects of meaning which are conveyed by an utter-ance due to the context in which the utterance is made.According to Grice,conversational implica-tures arise due to the set of assumptions that exist in language use.More specifically,Grice identifies a Principle of Cooperation which instructs language users to:“make [their] conversational contribution suchas is required,at the stage at which it occurs,by the accepted purpose or direction of the talkexchange in which you are engaged.”[Grice,1975]:45In order toflesh out this principle,Grice suggests four general maxims which if observed will fulfil the cooperative principle:the maxims of Quality (truthfulness),Quantity(no more and no less than required),Relation(relevance)and Manner(pres-entation).Grice’s position is that after the hearer has recognised the apparentflouting of a maxim,he or she draws an inference that the speaker is com-municating an additional implicature which explains why the maxim was disobeyed.Hence there must be a assumption among language users that each is being linguistically cooperative.It is important to note that Grice,however,distinguishes linguistic cooperation from behavioural cooperation. Linguistic cooperation is concerned solely with the achievement of mutual understanding among language users.Therefore,it is possible to be linguistically coop-erative yet refuse to help or even hinder another agent. As we shall see,research in AI,has adopted Grice’s the-ory but failed to distinguish these two types of coopera-tion.Grice’s account,however,has a more serious prob-lem in that it fails to fully explain how implicatures are recognised or how the particular inferences are drawn from the context after aflouting of one of the maxims has occurred.Given an utterance which breaks a maxim and is recognised by the hearer as such,it is unclear how a particular inference is arrived at.For example,con-sider an utterance which conveys something the hearer believes to be false.According to Grice,the hearer will be able to recognise that the speaker is still being coop-erative but has chosen to break the maxim of quality to convey some extra information.However,this does not account for the possibility that the speaker is simply mistaken or being deceptive.Moreover,it is often unclear which maxim is beingflouted.For example, consider Levinson’s [1983] example:A:What if the USSR blockades the Gulf and all the oil?B: Oh come now, Britain rules the waves!A Gricean account would explain the exchange as fol-lows:the reply is clearly false and given the assumption that the speaker is being cooperative,means that the maxim of Quality has beenflouted and the utterance must therefore be ironic.However,it is not clear that the maxim of Quality is the only maxim at work:since the reply inB does not provide enough information to directly answer the question,it could be argued that the reply also breaks the maxim of Quantity.A similar case can be made for the maxim of Relation since it is unclear how a obviously false statement could be rele-vant and also for the maxim of Manner since clearly the reply is not the most clear or direct response.What is missing from the above is an account of the motivations of the speaker,i.e.why the speaker choose to use a conversational implicature rather than a literal utterance.This gap is due to the assumption of coopera-tion:there is no motivation why a speaker should be cooperative other than because this is the nature of a conversation nor can there be since the Principle of Cooperation is assumed to hold in any normal discourse. The remainder of this paper will argue that part of understanding requires an understanding of why a speaker chooses to be cooperative.The Cooperativistic Paradigm in Natural Language ProcessingThe Cooperativistic paradigm has been just as influ-ential within AI approaches to dialogue understand-ing.Despite this,the Principle of Cooperation itself has not proven to be useful in building such sys-tems.The most apparent problem is that the max-ims are not specified sufficiently for use by computers.However,there are reasons to believe the explicit representation of the principle of coop-eration is not required.For example,Dale and Reiter[Dale and Reiter,1995]argue that any rea-sonable natural language generation(NLG)system will obey the maxims anyway without an explicit representation of the maxims simply because any well designed NLG system will only produce truth-ful contributions satisfying all and only the set of communicative goals available which are relevant to the system in as clear a manner as possible.All of this is achieved without any explicit rule of coop-eration.Instead,rather than attempt to directly capture Grice’s theory as a set of explicit maxims,natural language processing has emphasised the coopera-tive nature of dialogue.There is a very good reason for this.Carberry[Carberry,1990]distinguishes between keyhole recognition where the observed agent does not intend the plan to be recognised and intended plan recognition where the plan is intended by the planner to be recognised by the observer.Intended plan recognition allows the observer to make certain assumptions about the plan,such as that the plan relies on beliefs which are evident to both the planner and the observer and that the planner is not trying to mislead the observer.The majority of work in plan recognition has dealt solely with intended plan recognition and in general,keyhole plan recognition is regarded as too difficult a task.Given that plan-recognition has been the most common method of dialogue processing,emphasis on intended plan recognition has resulted in AI research looking at task orien-tated dialogues only.In such dialogues both dia-logue participants are assumed to be achieving a mutual goal.In the sub-sections that follow,we will briefly review two different systems.The TRAINS ProjectThe TRAINS project[Allen et al.,1994]is a large scale project for developing natural language interface technology which allows complex plan-ning to be performed in a simplified industrial domain where trains transport materials between factories and warehouses.The project considers user and the system to be peer agents who plan together.An important consideration is the planning requirements of the domain:the domain involves simul-taneous,variable duration and situation specific actions. Such features require complex and intensive planing even before dialogue processing is considered.There-fore,in order to maintain tractability,the system employs a highly restricted belief model.All facts about the domain are considered directly accessible by the user and system and therefore are con-sidered identical to mutual knowledge.However,plans under consideration have different attitudes associated with them which depend on their acceptance by both User and System:the System’s proposed plans arefirst considered private and then when mentioned become part of the proposed plan and if accepted by the User become part of the shared plan.It is therefore possible to construct a transition network offive distinct possible states and to define a set of conversational moves which allow interlocutors to change beliefs in a predictable way.TRAINS main success is that if provides a working platform for understanding spoken dialogue in real time. However,the nature of the TRAINS domain ensures that the conversation is always:first,cooperative;secondly, abstract from a large amount of real world knowledge. For example,the majority of referring expressions relate to the map displayed to the user.Because of this,both participants are cooperative but more importantly,have very similar belief sets and agendas concerning the domain.Therefore,there is no reason for the kinds of dialogue control found in everyday language or the sen-sitivity required to distinguish belief nestings.The Jam systemCarletta,Taylor and Mellish[Carletta et al.,1996]make stronger theoretical claims with respect to belief model-ling requirements.Where Allen et e a restricted belief model due to purely practical computational issues of complexity and achieving an adequate response time,Carletta el al.claim that distinguishing between deep nested beliefs is not required in coopera-tive dialogue anyway.Specifically they make the follow-ing claims:1.Task oriented domains give rise to cooperative dia-logues.2.Models of cooperative dialogue need only distin-guish between three levels of belief:i. Object level beliefs about the domain,ii. Agent’s beliefs about other agent’s object levelbeliefs (first level nested beliefs),iii. Agent’s beliefs about other agent’s first levelbeliefs (second level nested beliefs),3.In any cooperative dialogue where private deepnested beliefs are not explicitly reported, they willnot be required for understanding any utter-ance.4.Models which do not represent deeply nestedbeliefs prevent the generation of unnatural,uncooperative dialogue by simulating humanperformance more closely than more expres-sive models.Carletta et al.claim that nested beliefs beyond the third level are not necessary in cooperative dia-logue.They describe cooperative dialogues as a natural class of dialogues where there is no commit-ment on the part of either participant to deception, malicious or otherwise,and where the participants share goals.Carletta et al’s account is based around the JAM project which was originally developed as part of Carletta’s thesis[Carletta,1992].JAM simulates dialogue of the type found in the Maptask corpus [Anderson et al.,1991].The Maptask involves pairs of speakers navigating a route on two separate and slightly different maps.Typically one speaker leads the other by referring to locations which may or may not be present on the other’s map.Carletta claims that JAM is capable of capturing the essence of many of the dialogues in the Maptask.Nesting is strictly limited:beliefs are limited to three levels of nesting.Each agent in the dialogue represents the state of each concept discussed as being one of eighteen possible states corresponding to a combination of object level,singly and doubly nested belief.These states are represented as a tran-sition network where any utterance moves from one state on the network to another.Carletta evaluates the JAM system by generating mock dialogues which they argue resemble the features found in the Maptask corpus.Carletta et al.enhance the JAM system with a variable limit to the number of belief nestings rep-resentable.They do however,retain the ability to represent deeply nested beliefs but not to differenti-ate them beyond the third level of nesting.Deeper levels of nested belief are termed residual mutual beliefs.They report that restricting JAM to onlyfirst level nested beliefs results in longer and simpler dialogues being produced but that increasing the number of nestings allowed resulted in no change in the dialogues produced.This is despite the fact that JAM’s planner contains plan action operators with doubly nested beliefs as effects and since plan rec-ognition involves reversing planning at an addi-tional level of nesting and thus should make use of third level nested beliefs.To explain this,Carletta et al.adopt essentially Searle’s[Searle,1969]position with regard to understanding.If two agents are involved in a dia-logue with shared objectives then they are not merely attempting to pass information back and forth.Rather they are trying to reach some state of mutual knowledge. Searle claims that this is achieved when an addressee understands the meaning of an utterance by recognising the speaker’s intention to produce that understanding.Carletta et al.interpret this as follows:the speaker makes a plan involving actions to be performed by the addressee,and then executes it not in the hope that it will succeed as conceived but rather as the best way of getting it recognised given assumptions of honesty and helpfulness.So far,this line of reasoning is fairly stand-ard.However,Carletta et argue that given that two agents are cooperating with each other then they do not need to generate third level nested beliefs since they will both be content for their plans to be recognised as they actually are.Plan recognition is useful in such situations to allow the addressee to take initiative in achieving the planner’s goals and also in detecting incorrect plans but in both cases,only third level nested beliefs are required and any goal is assumed to be adopted by each agent involved in the Maptask.Therefore,agents are forced to be cooperative in virtue of the nature of the domain. Problems with Cooperative dialogues As,Galliers[Galliers,1988]argued,previous approaches have assumed that cooperative dialogues require:• A common goal between the agents.•That possessing the goal consists of being aware that the other agent shares the goal.•Recognition of another’s goal is sufficient justifica-tion to adopt the goal as one’s own.•If attainment of the common goal involves sub goals then these are shared on the same basis asabove.Both the TRAINS and Maptask domains provide stron-ger conditions on cooperation.In particular,in both cases,not only is there a shared goal but this goal is pri-mary to all other goals.In addition,both accounts insist that all goals are shared by the participants.Clearly,this is not true in general dialogue or even in most task related domains.For example,in a medical counselling domain,the medical expert has goals of diagnosis and treatment which are quite different from the patient’s treatments of seeking help.Though all the goals may be believed by each party, they are clearly not all shared.Moreover,even in the case of such shared goals,a rational agent will attempt to achieve as many goals as possible with any action.Therefore,the utterance or speech act chosen by the agent will be shaped by their private goals.Understanding an utterance involves understanding the intention behind the utterance and, therefore,the set of goals the participant is trying to achieve.Systems such as JAM are able to avoid suchcomplexities because they assume a domain which is both abstract and restricted to a single primary goal (or task).However,such situations are rare.Instead,dialogue systems must be capable of han-dling situations where the conversation is structured according to a combination of mutual,shared goals and mixed initiative.Recent work in A.I.has begun to treat the concept of mixed initiative,mixed coop-eration dialogues seriously.Despite this,the majority of implemented dia-logue systems have dealt with only shared task ori-ented dialogue.Previously,we have argued that such dialogues are the exception rather than the rule [Lee,1997].Three types of dialogue are assumed:cooperative,conflictive and collaborative.These types are shown in Figure 1.Each dialogue type can be distinguished by the different attitudes typical to its participants:Cooperative DialoguesThe defining characteristic of cooperative dia-logues is that participants share both beliefs about the topic of conversation and the goals to be achieved.This kind of dialogue has been extensively modelled in previous work in AI.Collaborative DialoguesThe defining characteristic of collaborative dia-logues is that participants hold contradictory beliefs but share the same goals.A proto-typi-cal collaborative dialogue is an argument,in terms of agreed goals,to convince the other participant of the “correct” belief.Conflictive DialoguesThe defining characteristics of conflictive dia-logues are that the participants hold conflicting beliefs and goals.Conflictive dialogues intro-duce the possibility of non-cooperative behav-ior such as deception and topic avoidance.The majority of previous work has assumed that any dialogue modelled is cooperative,or at best,collaborative.There are several reasons for this.First,conflictive dialogues are often difficult to understand,regardless of whether the hearer is a computer or human,since a speaker in such a dia-logue cannot be assumed to intend his or her inten-Cooperative Dialogues Shared beliefs,Shared goalsCollaborative Dialogues Contrary beliefs Shared goals Conflictive Dialogues Contrary beliefs Contrary goalsFigure 1. Types of dialogue and their resident attitudes tions to be recognised,and may in fact be trying to conceal his intentions,as the range of possible interpre-tations for the speaker’s motivation is so large.However,previous approaches have relied on the concepts of mutual beliefs and shared goals.I have argued previously that mutual belief is psychologically implausible [Lee &Wilks,1996].In addition,the requirement of shared goals confuses behavioural with (Gricean) linguistic cooperation.Furthermore,full understanding of phenomena such as indirection requires that the understander is sensitive to what constitutes linguistic non-cooperation.For example,in previous papers,we have argued that a cer-tain class of conversational implicature,can be recog-nised and understood by the elimination in the mind of the hearer of the possibility of either collaborative or conflictive contributions cooperative dialogues [Lee and WIlks,1997].Elimination involves the attribution (or ascription)of additional beliefs and goals to the speaker which carry the content of a conversational implicature.An account along these lines is sketched in the next sec-tion.A rational view of language under-standingRational agents ideally achieve their goals by the use of optimal plans.Research in plan generation has specified a number of heuristics for producing such plans.Specif-ically, good plans have the following criteria:Correctness:All actions in the plan should rely on correct propo-sitions at the time of their execution. In terms of agent modelling,the criterion of correctness requires that agents prefer plans which are grounded on prop-ositions which are believed by the agent to be true.RelevanceThe plan has a whole achieves the complete set of goals required by the planning agent. The criterion of relevance dictates that agents plan to achieve the maximum set of goals they can with the plan.EfficiencyThe plan achieves the stated goals incurring the min-imum cost in terms of either time or effort orresources used. The criterion of efficiency dictates that agents prefer the cheapest plan available. Cost can refer to time, effort or resources. For the pur-poses of this paper,a simple measure of effort based on the number of planning steps is sufficient.Clearly there is a tension between the three criteria.Typically,correct plans require more specification than abstract plans.This additional specification increases the planning cost expressed in both time and effort and therefore conflicts with the efficiency criterion.How-ever,in this paper,we will concentrate on the ten-sion between the criteria of relevance and efficiency.The inference of implicatures based on the correctness criterion is discussed further in[Lee and Wilks,1997].The criterion of relevance suggests that a good plan should achieve as large a number of goals for the planner as possible.Stated simply,the more goals that are achieved,the more“relevant”the plan,and therefore,the more relevant the action performed to the agent.However,the criterion of efficiency suggests that a good plan should be inex-pensive and,therefore,for a given set of goals,the shorter plan should be preferred over the longer plan with all other things being equal.In plan generation,given afixed set of goals,a simple heuristic is to generate the shortest plan for the full set of goals to ensure that both criteria are satisfied.However,during plan recognition,this is more difficult since plan recognition involves infer-ring the actual set of goals the speaker is trying to achieve.The size of this set is usually unknown and therefore,it is not clear when either of the above criteria is satisfied by the recognised plan.In the following two sections,we will outline how this rational view of agent hood can handle some prag-matic phenomena.Deception, Mistaken Belief and Irony There has been a large body of work within dia-logue processing dealing with mistaken beliefs on the part of the human interlocutor(e.g.[Pollack, 1992;Zuckerman,1992]),however,there has been very little research on speaker deception.This is due to the cooperative assumption:previous accounts of dialogue understanding have assumed that dialogues are cooperative in a Gricean sense so that the participants are truthful ignore the possibil-ity of conflicting beliefs and goals on the part of the participants and therefore,have an insensitivity to deception and mistaken beliefActs of deception and cases of mistaken belief have distinct belief conditions.In using plan recog-nition to understand the meaning of a speaker’s utterance,it is essential tofirst ascribe the correct set of beliefs to the speaker.The understanding of utterances based on either deception or mistaken beliefs is a form of keyhole recognition which is difficult in practice.However,both sets of belief conditions can be used in the recognition and understanding of conversational implicatures such as ironic statements.If the speaker is attempting to implicate some additional meaning then he or she must assume that the hearer will recognise their attempt as such.This is only possible if the speaker is sure that the hearer can eliminate the possibility of deception or mistaken belief on the part of the speaker.The process of elimi-nating such cases as possible interpretations forces the hearer to make additional belief ascriptions which the speaker can rely on to communicate conversational implicatures.Indirection and topic avoidanceIndirection is a common phenomenon in natural lan-guage dialogue.For example,in question-answering,an indirect response might be preferred to a direct answer. This can be due to two possibilities:either the agent does not wish to provide a sufficient answer(topic avoidance)or the agent wishes to answer the question and provide additional information to justify the answer or achieve additional communicative goals which may or may not be known to the hearer.Neither case is han-dled sufficiently by a purely cooperative view of interac-tion since the former constitutes non-cooperative behaviour while the later allows agents to have a private agenda of goals and intentions which may or may not be mutually known.However,a purely rational view of language use can accommodate both cases.Rational agents prefer optimal plans to non-optimal plans.How good a plan is can be measured as a balance of the efficiency of the plan ver-sus its relevance.Clearly there is a tension between the two criteria.The criterion of relevance suggests that a good plan should achieve the maximum set of goals pos-sible.Stated simply,the more goals that are achieved, the more“relevant”the plan,and therefore,the more relevant the action performed by the agent.However,the criterion of efficiency suggests that a good plan should be as cheap as possible and,therefore,a shorter plan should be preferred over a longer plan,all things being equal.In plan generation,given afixed set of goals,a sim-ple heuristic to satisfy both criteria is to generate the shortest plan for the full set of goals.However,during plan recognition,this cannot be done since plan recogni-tion involves inferring the actual set of goals the speaker is trying to achieve.The size of this set is usually unknown and therefore,it is not clear when either of the above criteria is satisfied by a recognised plan.Instead, given a speech act and therefore,a recognised discourse plan,the dialogue system must infer if the speech act is the most efficient method of achieving the assumed goal.It can do this by re-planning from the context the utterance was made in.If a more efficient plan exists then the speaker must be attempting some additional goal(and therefore maximising the relevance of the plan)which must be inferred:either a conjunctive goal in addition to the assumed goal or an avoidance goal to avoid some topic.。
关于面孔知觉的英文文献Face Perception: A Cognitive and Computational Perspective.Introduction.Face perception is a fundamental aspect of human cognition, enabling us to recognize and interact with others, navigate social environments, and express emotions. It is a complex process that involves multiple cognitive and computational mechanisms, including visual processing, attention, memory, and decision-making.Visual Processing.The visual system plays a crucial role in face perception. When we encounter a face, the eyes first scan the central features, such as the eyes, nose, and mouth. This information is then rapidly processed by the visual cortex, which extracts key features and attributes, such asfacial shape, size, and texture.Attention.Attention is essential for focusing on specific aspects of a face, such as the eyes or mouth, which conveyimportant social and emotional information. Attention canbe influenced by a range of factors, including task demands, social cues, and personal preferences.Memory.Memory plays a vital role in face recognition. We store representations of familiar faces in our memory, which allows us to recognize them even after long periods of time. These representations include both structural information about facial features and associated semantic information, such as names and relationships.Decision-Making.Face perception ultimately involves making decisionsabout identity, emotion, and social intentions. These decisions are based on the integration of visual, attentional, and memory processes. For example, when we see a friend's face, we may recognize them based on their unique facial features and associate them with a name and personality.Computational Models.Computational models have been developed to simulate the processes involved in face perception. These models aim to explain how different cognitive and computational mechanisms interact to produce accurate and meaningful representations of faces. Some of the most widely used models include:Face Recognition Networks: These models use machine learning algorithms to learn the features that distinguish different faces. They can be trained on large datasets of images and achieve impressive performance on face recognition tasks.Geometric Face Models: These models represent faces as 3D objects, allowing for the extraction of detailed structural information. They can be used for facial animation, facial reconstruction, and other applications.Statistical Face Models: These models capture the statistical regularities of faces, such as the typical shape and distribution of facial features. They can be used to generate realistic face images and for facial recognition tasks.Applications.Face perception has numerous applications in various fields, including:Security and Surveillance: Face recognition systems can be used for access control, surveillance, and criminal identification.Medical Diagnosis: Facial features can provide clues about certain medical conditions, such as genetic disordersand neurological damage.Human-Computer Interaction: Face-tracking technology allows computers to interact with users in a more natural and intuitive way.Social Psychology: Face perception plays a critical role in social interactions, such as forming impressions, understanding emotions, and establishing relationships.Conclusion.Face perception is a complex and multifaceted cognitive process that involves visual processing, attention, memory, and decision-making. Computational models have provided valuable insights into the mechanisms underlying face perception, leading to numerous applications in various fields. As research continues, our understanding of this fundamental aspect of human cognition will continue to deepen.。
The importance of socio-intercultural competency With the gradual development of the economic globalization’s trend, exchanges between countries become more and more closer, and the shock or conflicts among countries is inevitable. It is very significant to master the intercultural communication competence so that we can exchange and cooperate people from different regions much better. The reasons responsible for it can be listed as follows. First, it can help us develop common sense and eliminate cultural centralism. For instance, both westerners and easterners like sports, so there is the Olympic games in the world every four years. Second, it is also vital to help us develop two-way communication, which means we can exchange our ideas, It is obvious that the environment in the world is worse than the past. Therefore, the united nations sets the world Environment organization to deal with the issues of environment. Every countries can take participate in it, and come up with their own ideas to do some donations. Third, the last but not least, it can do a great favor to make us know ourselves better. As a proverb goes , speech is a mirror of the soul; as a man speaks ,so is he. Only do we understand ourselves clearly, we can understand others fromthe bottom of our hearts.To speak frankly, socio-intercultural competency is playing a more and more important role in today’s world stage. It can help us develop common sense and eliminate cultural centralism. Besides, it can help us develop two-way communication. What’s more, it help us understand ourselves better. Therefore, hoping us all can pay attention to developing socio-intercultural competency.。
Erikson's Theory of Psychosocial Development What is Psychosocial Development?Erik Erikson’s theory of psychosocial development is one of the best-known theories of personality in psychology. Much like Sigmund Freud, Erikson believed that personality develops in a series of stages. Unlike Freud’s theory of psychosexual stages, Erikson’s theory describes the impact of social experience across the whole lifespan.One of the main elements of Erikson’s psychosocial stage theory is the development of ego identity.1 Ego identity is the conscious sense of self that we develop through social interaction. According to Erikson, our ego identity is constantly changing due to new experience and information we acquire in our daily interactions with others. In addition to ego identity, Erikson also believed that a sense of competence also motivates behaviors and actions. Each stage in Erikson’s theory is concerned with becoming competent in an area of life. If the stage is handled well, the person will feel a sense of mastery, which he sometimes referred to as ego strength or ego quality.2 If the stage is managed poorly, the person will emerge with a sense of inadequacy.In each stage, Erikson believed people experience a conflict that serves as a turning point in development. In Erikson’s view, these conflicts are centered on either developing a psychological quality or failing to develop that quality. During these times, the potential for personal growth is high, but so is the potential for failure. Psychosocial Stage 1 - Trust vs. Mistrust∙The first stage of Erikson’s theory of psychosocial development occurs between birth and one year of age and is the most fundamental stage in life.2∙Because an infant is utterly dependent, the development of trust is based on the dependability and quality of the child’s caregivers.∙If a child successfully develops trust, he or she will feel safe and secure in the world. Caregivers who are inconsistent, emotionally unavailable, or rejecting contribute to feelings of mistrust in the children they care for. Failure to develop trust will result in fear and a belief that the world is inconsistent and unpredictable.Psychosocial Stage 2 - Autonomy vs. Shame and Doubt∙The second stage of Erikson's theory of psychosocial development takes place during early childhood and is focused on children developing a greater sense of personal control.2∙Like Freud, Erikson believed that toilet training was a vital part of this process. However, Erikson's reasoning was quite different then that of Freud's. Erikson believe that learning to control one’s body functions leads to a feeling of control and a sense of independence.∙Other important events include gaining more control over food choices, toy preferences, and clothing selection.∙Children who successfully complete this stage feel secure and confident, while those who do not are left with a sense of inadequacy and self-doubt.Psychosocial Stage 3 - Initiative vs. Guilt∙During the preschool years, children begin to assert their power and control over the world through directing play and other social interaction.∙Children who are successful at this stage feel capable and able to lead others. Those who fail to acquire these skills are left with a sense of guilt, self-doubt and lack of initiative.3Psychosocial Stage 4 - Industry vs. Inferiority∙This stage covers the early school years from approximately age 5 to 11.∙Through social interactions, children begin to develop a sense of pride in their accomplishments and abilities.∙Children who are encouraged and commended by parents and teachers develop a feeling of competence and belief in their skills. Those who receive little or no encouragement from parents, teachers, or peers will doubt their ability to be successful.Psychosocial Stage 5 - Identity vs. Confusion∙During adolescence, children are exploring their independence and developing a sense of self.∙Those who receive proper encouragement and reinforcement through personal exploration will emerge from this stage with a strong sense of self and a feeling of independence and control. Those who remain unsure of their beliefs and desires will insecure and confused about themselves and the future.Psychosocial Stage 6 - Intimacy vs. Isolation∙This stage covers the period of early adulthood when people are exploring personal relationships.∙Erikson believed it was vital that people develop close, committed relationships with other people. Those who are successful at this step will develop relationships that are committed and secure.∙Remember that each step builds on skills learned in previous steps. Erikson believed that a strong sense of personal identity was important to developing intimate relationships. Studies have demonstrated that those with a poor sense of self tend to have less committed relationships and are more likely to suffer emotional isolation, loneliness, and depression.Psychosocial Stage 7 - Generativity vs. Stagnation∙During adulthood, we continue to build our lives, focusing on our career and family.∙Those who are successful during this phase will feel that they are contributing to the world by being active in their home and community. Those who fail to attain this skill will feel unproductive and uninvolved in theworld.Psychosocial Stage 8 - Integrity vs. Despair∙This phase occurs during old age and is focused on reflecting back on life.∙Those who are unsuccessful during this phase will feel that their life has been wasted and will experience many regrets. The individual will be left with feelings of bitterness and despair.∙Those who feel proud of their accomplishments will feel a sense of integrity. Successfully completing this phase means looking back with few regrets and a general feeling of satisfaction. These individuals will attain wisdom, even when confronting deathErikson's Stages of Psychosocial Development Summary ChartBelow is given annual work summary, do not need friends can download after editor deleted Welcome to visit againXXXX annual work summaryDear every leader, colleagues:Look back end of XXXX, XXXX years of work, have the joy of success in your work, have a collaboration with colleagues, working hard, also have disappointed when encountered difficulties and setbacks. Imperceptible in tense and orderly to be over a year, a year, under the loving care and guidance of the leadership of the company, under the support and help of colleagues, through their own efforts, various aspects have made certain progress, better to complete the job. For better work, sum up experience and lessons, will now work a brief summary.To continuously strengthen learning, improve their comprehensive quality. With good comprehensive quality is the precondition of completes the labor of duty and conditions. A year always put learning in the important position, trying to improve their comprehensive quality. Continuous learning professional skills, learn from surrounding colleagues with rich work experience, equip themselves with knowledge, the expanded aspect of knowledge, efforts to improve their comprehensive quality.The second Do best, strictly perform their responsibilities. Set up the company, to maximize the customer to the satisfaction of the company's products, do a good job in technical services and product promotion to the company. And collected on the properties of the products of the company, in order to make improvement in time, make the products better meet the using demand of the scene.Three to learn to be good at communication, coordinating assistance. On‐site technical service personnel should not only have strong professional technology, should also have good communication ability, a lot of a product due to improper operation to appear problem, but often not customers reflect the quality of no, so this time we need to find out the crux, and customer communication, standardized operation, to avoid customer's mistrust of the products and even the damage of the company's image. Some experiences in the past work, mentality is very important in the work, work to have passion, keep the smile of sunshine, can close the distance between people, easy to communicate with the customer. Do better in the daily work to communicate with customers and achieve customer satisfaction, excellent technical service every time, on behalf of the customer on our products much a understanding and trust.Fourth, we need to continue to learn professional knowledge, do practical grasp skilled operation. Over the past year, through continuous learning and fumble, studied the gas generation, collection and methods, gradually familiar with and master the company introduced the working principle, operation method of gas machine. With the help of the department leaders and colleagues, familiar with and master the launch of the division principle, debugging method of the control system, and to wuhan Chen Guchong garbage power plant of gas machine control system transformation, learn to debug, accumulated some experience. All in all, over the past year, did some work, have also made some achievements, but the results can only represent the past, there are some problems to work, can't meet the higher requirements. In the future work, I must develop the oneself advantage, lack of correct, foster strengths and circumvent weaknesses, for greater achievements. Looking forward to XXXX years of work, I'll be more efforts, constant progress in their jobs, make greater achievements. Every year I have progress, the growth of believe will get greater returns, I will my biggest contribution to the development of the company, believe in yourself do better next year!I wish you all work study progress in the year to come.。
第一届认知神经动力学国际会议(ICCN2007)简介王如彬;陆启韶【期刊名称】《力学进展》【年(卷),期】2008(38)1【摘要】第一届认知神经动力学国际会议(The First International Conferenceon Cognitive Neurodynamics)。
2007年11月17-21日在上海华东理工大学隆重举行.这次大会是由华东理工大学、上海市生物物理学会以及由我国学者担任主编的国际学报《认知神经动力学》(Cognitive Neurodynamics,德国Springer出版社出版)联合主办.包括中国在内的来自世界上30多个国家和地区的约250位代表参加了这次国际会议,其中国外与会代表约占2/3左右,特别是,来自美国,英国,德国,法国,澳大利亚,加拿大,荷兰,瑞典,意大利,瑞士,日本以及韩国等发达国家的与会代表占一半以上,其余包括中国在内的近20个国家的与会代表占45%左右.这显示了发达国家在认知神经科学,神经动力学及它们的交叉研究领域内的重视程度以及强大的科研实力.【总页数】2页(P130-131)【作者】王如彬;陆启韶【作者单位】华东理工大学信息学院脑信息处理与认知神经动力学研究所,上海,200237;北京航空航天大学理学院,北京,100083【正文语种】中文【中图分类】TN911.73【相关文献】1.2009认知神经动力学国际会议 [J], 李光;王酉2.第二届认知神经动力学国际会议简介 [J], 王如彬;顾凡及;陆启韶3.第一届认知神经动力学国际会议(ICCN2007)简介 [J], 王如彬;陆启韶4.第一届认知神经动力学国际会议在上海胜利举行 [J], 王如彬;顾凡及5.探索语言与人类认知的奥秘——第七届全国认知科学会议暨第一届中国与世界认知科学国际会议纪要 [J], 夏炎;薛小迪因版权原因,仅展示原文概要,查看原文内容请购买。
!"#$%&%'(社会科学版)2021年第1期Journal of Chongqing University of Science and Technology(Social Sciences Edition)No.12021关于集成脑理论与意识的思考—对唐孝威集成脑观的哲学反思黄家裕(浙江师范大学马克思主义学院,浙江金华321000)摘要:人的意识是如何产生的?一些学者提出“集成脑”的观点。
唐孝威院士则把集成的思想和当今的神经科学有机结合起来,提出大脑的4个功能系统理论,该理论解释了意识产生的机制及情绪和认知活动的关系,从认知视角来看,其对人工智能具有重要的意义。
从意识的突现问题、还原问题及结构功能问题等哲学视角反思了唐孝威院士的集成脑观。
关键词:意识;涉身认知;大脑;认知结构;集成脑观中图分类号:B022文献标识码:A文章编号:1673-1999(2021)01-0008-04当今人工智能、认知科学,是学者的知识提出了关智认知的思想、理论。
,学者学者关于人工智能、认知科学、脑科学等方面的理论,产生了不少学术成果&,有许多论文和著作仅仅是机械地吸收了欧美的思想和理论,并没有多少创新。
当,也应该承认,确有学者,脑科学研究前沿的成果之后,对脑科学思想和理论了&合唐孝威院士的研成,思考集成脑的功能结构和认知结构,对中国学者关于大脑和意识的科学思想及理论哲学反思,从还原视对唐孝威院士理学关神经科学的关思想和理论之后提出的集成脑思想及理论作进一步反思,分析该理论的贡献和局限性,以及应用因果关系分析该理论所面临的难题&一、集成视角下“涉脑”的认知结构集成(integration"是指电子领域中把不同的电子器件集合在一起,把软件、通讯技术和硬件结合为一个单元而解决处理关问题&集成系统的不同构成部分原本是一个个相对独立的系统,但通过集成,集成系统作为整体能够把不同部有机合起来,由此形成集成系统的整体具有各个部所不具有的性质,集成系统能够发挥整体性的功能,具有整体优的&从广义来看,系统集成不仅包括硬件设备的集成、软件系统的集成,还包括社会领域中的组织机构的集成、社人员的集成和管理法的集成。
认知体验哲学视角下的英语五大基本构式1. 引言1.1 介绍认知体验哲学视角下的英语五大基本构式In the field of cognitive experiential philosophy, the study of English language structures has been a subject of great interest. The five basic constructions in English language have been analyzed and examined through the lens of cognitive experience philosophy, providing new insights into the way language is processed and understood by the human mind.2. 正文2.1 认知体验哲学的概念Cognitive experiential philosophy is a branch of philosophy that focuses on the nature of human cognition and experience. It seeks to understand how individuals perceive, process, and make sense of the world around them. In the context of English language, cognitive experiential philosophy plays a crucial role in shaping the five basic sentence structures that define the language.2.2 英语五大基本构式的原理The principles underlying the five basic syntactic structuresin English are fundamental to understanding how language functions and how meaning is conveyed. These principles guide the formation of sentences and help determine the relationships between words within a sentence.2.3 构式一:简单句简单句是构成英语基本句型的一种最简单的句子结构,它通常由一个主语和一个谓语组成。
《微观经济学》课程教学大纲一、课程基本信息课程代码:16143103课程名称:西方经济学(微观部分)英文名称:Microeconomics课程类型:学科基础课学时:48学时学分:3学分适应对象:全院经济管理类各本科专业考核方式:考试先修课程:高等数学二、课程简介中文简介:(附内容结构图)微观经济学研究单个经济单位的活动规律。
具体地说,微观经济学研究单个消费者、单个生产者、单个市场的的经济行为,其对单个经济单位的考察,是在三个逐步深入的层次上进行:第一层次考察单个消费者、单个生产者的均衡;第二层次考察单个的市场均衡;第三层次考察所有单个市场均衡价格的决定。
正因为其分析涉及的变量都是经济个量,它才被称为微观经济学。
价格分析是微观经济学分析的核心,微观经济学也被称为价格理论。
本书关于价格理论的讲述是按以下层次展开:开篇简介西方经济学;第二章介绍价格的确定是由于供需两种因素均衡的结果,当然,作为必备知识,本章也介绍了供给、需求函数及相关曲线、供求的各种弹性;第三章介绍了决定商品价格的需求因素,需求曲线之所以向右下方倾斜,是由于效用最大化原则的要求;为说明供给曲线,第四章、第五章介绍了生产函数和成本函数,得到了一定产量时厂商成本最小化的条件和长短期成本曲线。
通过第六章的学习,可以得到完全竞争的市场条件下,厂商的商品供给曲线即是其边际成本线(高于平均可变成本最低点以上部分)。
第七章介绍了三种不完全竞争市场条件下都不存在规律的供给曲线。
至此,商品的供求及价格决定的内容已完整。
第八章、第九章介绍了要素的供求,从而确定了要素均衡时的价格。
第十章将单个市场均衡推广到多个市场,并讨论了生产和交换的最优条件;第十一章则从价格失灵的角度讨论其失灵原因及相应的对策。
英文简介:The conomics behaviors of single unit are studies in the subject of Microeconomics.In details,a cosumer、a poductor or a market is studied.Three contends are included in the book.The first one describes the conomics equilibrium behaviors of single cosumer andsingle cosumer;the second part explains how some market turning equilibrium;the equilibrium price and quantity of all markets was discussed in the third one.Because single unit is discussed,the subject was called as Microeconomics.The price analyses is the core of Microeconomics.What is Economics is introduced in the first chaptes;how the price deing decided is explained in the second chapter;demanding is described in the third;how to get supply curve is the main contend from the fourthchapter to the seventh one.The discussion about the factors demand and supply was introduced.The contend of the tenth chapter is market equilibrium and the production optimization and exchange optimization;Externalities、public goods、asymmetric information and Microeconomics policy are discussed in the eleventh.微观经济学内容结构图第一章:引论第四章:生产论第三章:效用论第二章:需求曲线和供给曲线概述以及有关的基本概念第十章:一般均衡论和福利经济学第九章:生产要素价格决定的供给方面第五章:成本论第六章:完全竞争市场第七章:不完全竞争市场第八章:生产要素价格决定的需求方面第十一章:市场失灵和微观经济政策在本课程体系中的功能章次及内容简介“西方经济学”范畴价格的形成机制——供求均衡的结果商品需求曲线的形成:消费者效用最大化的结果完全竞争时商品供给曲线的形成:生产者利润最大化的结果生产函数成本函数利润最大化条件不完全竞争条件下无有规律的商品供给曲线商品价格的形成:供求均衡生产要素的需求因素:边际要素收益=边际要素成本生产要素的供给因素:要素自用效用=要素供给效用所有市场的均衡价要素价格的形成:供求均衡价格失灵,不能起资源调配作用,采用相关经济政策生产和交换的最优条件实证经济学规范经济学三、课程性质与教学目的课程性质:作为西方经济学的组成部分,微观经济学是对西方发达资本主义国家二百多年市场经济发展中的单个经济单位活动规律的一般抽象和概括。
No clear-cut distinction can be drawn between professionals andamateurs in science: exceptions can be found to any rule. Neverthelss, the word“amateur” does carry a connotation that the person concerned is not fully integratedinto the scientific community and, in particular, may not fully share itsvalues. The growth of specialization in the nineteenth century, with itsconsequent requirement of a longer, more complex training, implied greaterproblems for amateur participation in science. The trend was naturally mostobvious in those areas of science based especially on a mathematical orlaboratory training, and can be illustrated in terms of the development ofgeology in the United Kingdom。
A comparison of British geological publications over the lastcentury and a half reveals not simply an increasing emphasis on the primacy ofresearch, but also a changing definition of what constitutes an acceptableresearch paper. Thus, in the nineteenth century, local geological studiesrepresented worthwhile research in their own right; but, in the twentiethcentury, local studies have increasingly become acceptable to professionalsonly if they incorporate, and reflect on, the wider geological picture.Amateurs, on the other hand, have continued to pursue local studies in the oldway. The overall result has been to make entrance to professional geologicaljournals harder for amateurs, a result that has been reinforced by thewidespread introduction of refereeing, first by national journals in thenineteenth century and then by several local geological journals in thetwentieth century. As a logical consequence of this development, separatejournals have now appeared aimed mainly towards either professional or amateurreadership. A rather similar process of differentiation has led to professionalgeologists coming together nationally within one or two specific societies,where the amateurs have tended either to remain in local societies or to cometogether nationally in a different way。
皮亚杰认知发展英文English:Jean Piaget was a Swiss psychologist known for his work in child development and cognitive theory. He proposed a stage theory of cognitive development, which outlines the four stages of development that children go through as they mature. According to Piaget, these stages include the sensorimotor stage, the preoperational stage, the concrete operational stage, and the formal operational stage. Piaget believed that children actively construct their understanding of the world through their experiences and interactions with the environment. He also emphasized the importance of schemas, which are mental frameworks that help individuals organize and interpret information. Piaget's work has had a significant impact on the field of developmental psychology and continues to influence our understanding of how children learn and grow.中文翻译:让·皮亚杰是一位瑞士心理学家,以其在儿童发展和认知理论方面的工作而闻名。
The Socio-Cognitive Dynamics of Entrepreneurial IdeationRobert M.GemmellRichard J.BolandDavid A.KolbHow do entrepreneurs obtain the creative ideas they need to develop innovative new prod-ucts?We interviewed 32technology entrepreneurs to generate a grounded theory as to how technology entrepreneurs use social behaviors,techniques,and cognitive processes to generate,validate,and refine ideas for new products,processes,or services.The results reveal a complex,cyclical,and recursive multilevel social process emphasizing active and social experimentation.Greatest ideational productivity occurs when “trusted partners”exchange and refine ideas through a form of shared cognition.The findings will be useful to researchers and practitioners interested in entrepreneurship,social creativity,and manage-ment team dynamics.IntroductionThe origins of innovative entrepreneurial firms can always be traced to creative new ideas (Amabile,Conti,Coon,Lazenby,&Herron,1996).This notion of creativity as a driving force behind entrepreneurship dates back to the term “creative destruction,”which is used to describe economic growth through innovation (Schumpeter,1942).Creative ideas seem commonplace,but successful entrepreneurial ideas are scarce and valuable commodities (Stevens &Burley,1997).Furthermore,the cognitive skills and methodolo-gies used by successful serial entrepreneurs to spawn such ideas are not well understood (Baum,Frese,&Baron,2007).The literature is replete with theories of creativity beginning with its description as a four-stage process:preparation,incubation,insight,and verification (Wallas,1926).Amabile (1983)later focused on the components of managerial creativity (i.e.,domain skills,creativity skills,and motivation).Researchers have more recently been interested in the influence of social networks on creative ideation,suggesting that weak ties offer the greatest novel influence by bringing new domain knowledge and perspectives to bear on problem solving (Perry-Smith,2006).However,there has been surprisingly little written about how entrepreneurs use creativity to develop new ideas for important products and processes (Baum et al.,2007).Amabile (1997)theorized that entrepreneurial success is linked to a combination of Please send correspondence to:Robert M.Gemmell,tel.:(404)432-1707;e-mail:rgemmell@,to Richard J.Boland at boland@,and to David A.Kolb at david.kolb@.1042-2587©2011Baylor Universityintrinsic motivation and certain supportive forms of“synergistic extrinsic”motivation. There is anecdotal evidence that highly educated technology-oriented entrepreneurs may lack the cognitiveflexibility to navigate easily the various stages of creativity and learning and might therefore be prone to overanalyze rather than to act(Kolb&Kolb,2005;Pinard &Allio,2005).Most studies have been purely theoretical:Few,if any,entrepreneurial creativity studies have been based onfield data probing the actual cognitive and behavioral patterns of successful technology entrepreneurs.We interviewed32technology entrepreneurs regarding their recent ideational expe-riences to explore the behaviors,techniques,and thought processes used by entrepreneurs to develop,refine,validate,andfilter(for usefulness)their creative ideas regarding products,services,and rmed by the literature,we anticipated new insights into techniques used by entrepreneurs to generate ideas.Instead,they revealed a complex array of social interactions and experimental inquiries,contradicting the prevailing image of a lone entrepreneur struck by a novel idea or positively influenced by predominantly weak social ties.Our data shatter the traditional oversimplistic view of ideation as thefirst in a linear series of progressive activities to form a new business.We observed entrepreneurs con-sciously engaging in an ongoing complex,cyclical,and recursive social process of problem solving and learning,which is integral to and inseparable from the larger cycle of innovation and new business formation.Thesefindings illuminate methodologies and skills that nascent entrepreneurs can master,challenging the conventional wisdom that only certain individuals are“born”to be entrepreneurs.Literature ReviewComponents of Entrepreneurial CreativityAs seen in Figure1,the theory of organizational creativity put forward by Amabile (1983)focuses on three main components:domain knowledge,creativity skills,and task motivation.Entrepreneurs have a base of domain knowledge essential to performing creative transformational processes that lead to creative new ideas(Shane,2000;Weisberg, 1999).However,base knowledge is a“double-edged sword”and can stifle creativity through strong biases toward existing ideas and properties of familiar exemplars (Frensch&Sternberg,1989;Runco&Chand,1995;Smith,Ward,&Schumacher, 1993;Ward,2004).This phenomenon is referred to as the“inverted U”theory of knowledge and creativity,whereby creativity is positively correlated with knowledge until the onset of biased expert knowledge begins to limit and ultimately reduce Figure1Components of Creativity(Amabile,1983)creativity(Frensch&Sternberg).Knowledge is key to creative entrepreneurial actions such as opportunity recognition and knowledge asymmetry accounts at least in part for why entrepreneurs in the same environment do not all recognize the same opportunities (Shane).Creativity skills include cognitive style,heuristics,and ideation techniques(Amabile, 1983).Cognitive style is defined as individual preferences toward certain modes of thinking,perceiving,remembering information,and problem solving(Amabile;Tennant, 1988).Amabile has explored the role of numerous cognitive styles including the ability to see new meanings in concepts or objects(“breaking the perceptual set”)or adopting a new problem-solving strategy(“breaking the cognitive set”).Other cognitive styles conducive to creativity include keeping creative production options open as long as possible(Getzels &Csikszentmihalyi,1976)while suspending judgment(Stein,1975).Heuristics are learned mental shortcuts used by entrepreneurs to simplify decision making and idea generation under difficult conditions,typically in the absence of sufficient time or data to employ customary managerial analysis techniques(Busenitz&Barney,1997;Tversky, 1974).The third component of creativity skills and techniques utilized to generate creative ideas and transformational processes,involves the stretching and expansion of ideas,most commonly by combinations of dissimilar objects,analogical associations,and methods of problem-framing/finding(Mumford,Reiter-Palmon,&Redmond,1994;Ward,Patterson, &Sifonis,2004).Creative combinations are achieved by merging the features or attributes of a source concept into a target concept(Mednick,1962).Gentner’s(1983)theory of analogy focuses on identifying structural similarities between target and source objects so that analogous attributes from a source concept can be mapped into a target to produce a new concept.Creative combinations and analogical thinking can both be subject to the“path of least resistance”tendency to retrieve known,familiar,and relevant exemplars,sometimes leading to less-original ideation(Finke,Ward,&Smith,1992).Manipulating problems (i.e.,framing or viewing the basic nature of a problem through a different lens)can lead to novel ideas and solutions(Runco&Chand,1995).Another generational technique is “problem-finding/definition”(Mumford et al.,1994),in which solutions with different novel properties tend to emerge depending on the manner in which a problem is identified and framed.Amabile(1983,p.365;1996)describes intrinsic motivation as“a motivational state generated by the individual’s reaction to intrinsic properties of the task and not generated by extrinsic properties.”She has also defined a third type of motivation,“synergistic motivation,”as being stimulated by extrinsic factors that positively influence creative performance.These usually occur during stages that depend less on novelty and depend more on the timely execution of certain tedious operations such as validation and com-munication of ideas(Amabile,1996).She describes intrinsic motivation as a common state and/or trait of highly creative entrepreneurs,especially when combined with syner-gistic extrinsic motivation(Amabile,1993,1997).Perseverance,a key by-product of intrinsic motivation,is a crucial trait for achieving high-level creative insights that require protracted effort through multiple recursive cycles. Perseverance in pursuit of novelty requires attention,a scarce cognitive resource that must be channeled to areas of greatest interest and carefully protected against intrusions from the outside world(Csikszentmihalyi,1996).Neuroscientists have demonstrated that humans have only limited working memory in the prefrontal cortex region and that accurate retrieval from long-term memory is difficult,if not impossible,in the presence of the usual distractions in a typical managerial work environment(Kane&Engle,2002).Cycle of Learning and CreativityLearning,the means for adding to base knowledge,can also lead directly to new ideas. Experiential learning(Kolb,1984),the most appropriate theory for entrepreneurial learn-ing,focuses on the process of learning from experience versus learning outcomes (Corbett,2005).Kolb defines learning as the process whereby knowledge is created from the combination of grasping and transforming experience.The learning experience is grasped through either abstract comprehension or concrete apprehension and then pro-cessed through reflective observation(RO)or active experimentation(AE).According to Kolb,learners tend to prefer certain learning styles and by doing so exhibit various cognitive strengths and weaknesses.Learners with a diverging style,he argues,tend to be great at brainstorming and are often interested in the arts.Divergent thinking is strongly associated with creative thought,and learners with this style are able to naturally generate ideas.Assimilative learners,Kolb contends,tend to be interested in theory and abstract problem solving;learners with a converging style are analytically oriented and tend to be specialists in technicalfields.Accommodative learners also tend to prefer relatively social and action-oriented careers such as marketing and sales.A smaller percentage of learners exhibit a balanced style and are able to adapt their learning style on a situational basis(Kolb&Kolb,2005;Sharma&Kolb,2009).Creativity has been described as a time-domain process that utilizes the same funda-mental stages and cognitive processes as learning.By merging the classical stages of creativity(Csikszentmihalyi,1996;Wallas,1926)with Kolb’s(1984)experiential learn-ing model,we created a useful and richly descriptive conceptual framework we call the “cycle of learning and creativity”(Figure2).Creativity and experiential learning are both recursive and cyclical phenomenon,sharing a common cognitiveflow as individuals move through four primary stages:(1)studying and incorporating oneself into a subject area;(2) stepping away to reflect and incubate ideas;(3)experiencing an“insight”or epiphany as novel abstract concepts emerge;and(4)verifying abstract concepts as an active experi-ment(Csikszentmihalyi;Wallas).This process can repeat multiple times in a recursive spiraling fashion,with each successive repetition converging toward a better solution or idea.Csikszentmihalyi(1996)warns that his model of creativity is not to be taken too literally but,rather,used as a useful conceptual tool.Field studies have shown that certain steps may be either skipped or be practically indiscernible or may occur out of sequence; however,the model is a useful tool for understanding the time domain of creativity and the cognitive resources needed at different points in time(Corbett,2005;Csikszentmihalyi). Social EnvironmentAlthough there have been relatively few empirical studies of the social network impact on entrepreneurial creativity,researchers(Perry-Smith,2006)have recently applied Granovetter’s(1973)network theory to creativity,demonstrating that weak social ties benefit creativity by providing valuable information that is unique and less repetitive. Conversely,strong ties tend to have only a neutral impact by distributing similar infor-mation over localized redundant paths.Another study demonstrated that mentors,industry networks,and professional forums all make a positive impact on entrepreneurial oppor-tunity recognition(Ozgen&Baron,2007).The researchers found that this was especially true when the entrepreneur possessed both strong self-efficacy and relevant schemas(i.e., mental frameworks)for interpreting and acting upon information gained through social contacts.MethodsMethodologyThe aim of this study was to learn about successful entrepreneurial ideation,a research endeavor we deemed best served by qualitative methods (Ward,2007).Qualita-tive research is a particularly strong method for exploring meanings,contexts,processes,and unanticipated phenomena,and for inducing credible causal explanations that extend existing managerial practice (Maxwell,2005).Ward specifically advocates open-ended discussions in the form of semi-structured interviews to elicit detailed narratives about actual entrepreneurial experiences of creating novel new products and processes.Accord-ingly,we adopted a grounded theory approach to collect and analyze systematically qualitative field data (Strauss &Corbin,1990).Our method was shaped by two basic principles of grounded theory:constant com-parison and theoretical sampling (Strauss &Corbin,1990).Constant comparison refers to the simultaneous collection and analysis of data using rigorous coding techniques to Figure 2Cycle of Learning and Creativity (Superimposition of Wallas’s Stages of Creativity over Kolb’s LearningStyles)AC,abstract conceptualization;AE,active experimentation;CE,concrete experience;RO,reflective observationidentify emergent themes that influence subsequent data collection.Ongoing analysis directs the forward selection of respondents and the study progresses until theoretical saturation,the point at which no new ideas emerge(Strauss&Corbin).SampleOur sample consisted of32entrepreneurs,all founders and/or senior executives in one or more technology start-up businesses.All respondents were based in the United States, most(23)in the Southeast and others in the Midwest(7),Northeast(1),and West(1).The study achieved industry diversity by including participants from software,Internet/e-commerce,hardware/software systems,biotechnology,telecommunications,electronics, and medical devices.A concerted effort was made to achieve gender diversity;however, the study reflects the male-dominated nature of the industry(there were30male partici-pants but only2females).Participants were contacted initially by email to solicit their participation.Thefirst interviews were conducted with close professional contacts;afterwards,a“snowball”technique was used to generate referrals and subsequent participants.Most of the participants(78%)were highly successful(i.e.,having founded at least one company with revenues exceeding$10million annually)and/or serial entrepreneurs (having founded multiple new businesses,at least one of which had achieved>$2million in annual revenues).However,a contrasting group of participants(22%)were either first-time entrepreneurs in the early stages of new business formation or entrepreneurs whose experience was limited to smaller-scale ventures.Four participants(12%)also had significant corporate intrapreneurial experience at some point in their professional careers.Participants ranged in age from27through60years with an average age of 47.All participants had attended some college or trade school,and50%had earned graduate or professional degrees(Table1).Data CollectionData were collected during a2-month period from mid-April to mid-June2010and consisted of face-to-face interviews with28participants and four telephone interviews. The approximately1-hour-long recorded interviews were transcribed by a professional service,and these transcriptions were then carefully reviewed by the researcher to confirm data accuracy.The interview protocol(see Appendix)was designed to elicit lengthy narratives detailing participants’actions,thoughts,feelings,and social interactions at the inception of ideas for new products or processes.Narratives included ensuing actions taken to further socialize,develop,andfilter ideas from a raw state into useful,novel new products and processes.Special effort was made to trigger vivid recollection of ideational experi-ences that had occurred within only days or weeks prior to the interview.Each interview consisted of the same four core questions;however,probes were varied and tailored in response to the particular interview situation.Probes were informed by literature reviews and pilot interviews,and these were primarily used to source more finely detailed information by encouraging the participants to relive and relate their ideational experiences through different lenses(i.e.,their thoughts,feelings,actions,and interactions with others).Respondents were not only asked about successful ideas but also asked about ideas which failed or were consciouslyfiltered and not pursued.Interview notes and post-interview memos were also produced for each interview.Table1Summary of Participant DemographicsIndustry sector#of participants%of totalSoftware1340Internet/e-commerce825Hardware/software systems413Biotech310Telecomm26Electronics13Medical devices13Intrapreneurial experience413EducationEngineering/science2269Business/liberal arts1031Some college/trade school26Bachelor’s degree1444Master’s degree1237Doctorate413Location/regionSoutheast2372Midwest722Northeast13West13Data AnalysisThe audio recording for each interview was reviewed multiple times,and each transcript was read repeatedly.Interviews werefirst coded using“open-coding”tech-niques recommended by Strauss and Corbin(1990).This involved rigorous line-by-line examination of every transcript to identify“codable moments”or segments of text with potential research significance(Strauss&Corbin).Open coding,which began imme-diately after thefirst interview and continued throughout data collection,resulted in the identification of1,683fragments of text that were sorted on the basis of similarity into 21initial categories.During a second analytical phase called“axial coding”(Strauss&Corbin,1990),the original categories were examined and refined in alignment with common themes that emerged from the data.This involved systematic reassessment of coding categories based upon unfolding discovery and reinterpretation of data patterns.Thematic analysis during axial coding resulted in a reduction from the21original categories to7key data categories that became the focus of our study.Examination of key emergent themes prompted a return to the literature for comparison of data and existing literature.A third andfinal phase of“selective coding”reduced the data to afinal set of four predominant data categories supporting our keyfindings.FindingsTechnology entrepreneurs utilize a variety of behaviors,techniques,and thought processes to develop,refine,and validate creative ideas,as well as tofilter them based ontheir usefulness.However,our data present strong evidence of the three key ideational processes common to all technology entrepreneurs.First,they all utilize complex and sophisticated social networks as sources of ideas and to test,refine,and validate trial ideas. Second,technology entrepreneurs exhibit extraordinary domain specificity byfiltering ideas outside specific markets and technologies.Finally,they actively experiment and iterate ideas rather than engage in protracted conceptual analysis.Finding1Technology entrepreneurs rely heavily on the strength of their strongest ties. Maximum ideational productivity occurs when a small select“inner group”including a “trusted partner”is engaged in search of a solution.1.1.Successful technology entrepreneurs form a strong and select inner group that drives ideational productivity,and which encompasses a diverse blend of experience,personali-ties,and cognitive styles while sharing certain core traits.All32interview participants described an“inner group”typically consisting of the entrepreneur and two or three select colleagues who interact frequently and intensely with the entrepreneur,both as a sounding board and as a source of ideas.Entrepreneurs socialize ideas with both weak and strong ties;however,this inner group represented the entrepreneurs’most consistently productive social capital.Fifteen of the26serial entre-preneurs teamed with inner group members for multiple ventures,and in at leastfive cases,the team repeated ventures within the same market and technology.All respondents who provided detailed insight into the composition of the inner group described common traits such as a shared vision,a common language,and shared domain experiences and knowledge.Many participants described their ability to have vigorous but constructive arguments among inner group members to refine their ideas: We all bring different backgrounds to the business which are mostly pretty comple-mentary.We all know each other well enough that we can sit and argue and shout and scream over the boardroom table and still drink beer afterwards.Participants stated that group“chemistry”allowed them to brainstorm freely and more productively within their exclusive group.However,they noted that this chemistry was usually lost when outsiders were included:All these guysfit.They get it.Theyfit.Our personalitiesfit.They’re creative guys.When we get together,we kick ideas off of each other.It’s a brainstorming session every time we get together.When we’re meeting with a larger group,and with those meetings,we’re mostly in listening mode.We’re kind of picking their brains,and so it doesn’tflow as well because we’re kind of seeing where they go.I’d say the ones between(just)the three of us tend toflow better.Inner group members shared many traits but were otherwise highly diverse.They assumed different roles within the company and pooled various functional knowledge, personalities,and cognitive traits(including preferences for different media and tech-niques to develop ideas):I’m analytics.One of the partners is technology.One of the partners is strategy.Generally,we’ll describe what...the challenge is...and then we’ll just start working our way around the table.People start to throw out their interpretation of what the problem is.You know,“I think it’s like this,”or,“I think it’s like that.”Iwould draw pictures.There are a couple of other guys that are very visual that will start drawing pictures.Other people aren’t;they just start laying out examples.Some people will use metaphors.The most common source of diversity came from the fact that some inner group members had a strong technical background,whereas others had a more general business or marketing orientation:Since they have an engineering background and I have a business background,they look at things backwards.Of course,they say I look at things backwards.But the reality is we do attack business problems differently,which I think has really helped all of us.I think it’s really enhanced our ability to come up with different ideas. 1.2.Successful entrepreneurs commonly described a single“trusted partner”from the inner group as their most crucial ideational resource.Seventeen out of the32interview respondents described a key relationship with one member of the inner group that was particularly productive and crucial to their success.“It’s kind of like...how musicians work and jam together,and he and I just have a very good way of knowing how to lead the other one.”The respondents told stories of intense interactions with trusted partners that yielded critical and timely ideas,often under extreme time pressure.Eleven of these17serial entrepreneurs worked with the same trusted partner in multiple start-up ventures.There were no reports of“divorce”among these serial entrepreneurs(i.e.,instances in which trusted partners were abandoned and replaced in subsequent ventures).Participants described a symbiotic relationship with trusted partners based upon respect,trust,comfort,excitement,encouragement,passion,and open,easy communica-tion.Trusted partners had heated frank discussions but ultimately agreed on a solution and remained friends:We’re very open with each other.There’s no fear of criticism between the three of us, and I think that that helps a lot.I could ask a question that’s a very silly question toa biologist or a biochemist,but there’s no fear of being scientifically ridiculed forhaving asked a question that someone thinks is silly.And so I think a lot of our conversations are like that,just because they’re open and easy communication,it makes it easy to come up with these other ideas.Trusted partners were conscious that their unique form of constructive conflict might be misinterpreted by others in thefirm as open hostility:And so I’ve got a good relationship with a partner that we really can have drag-out meetings and conversations about things,but it helps both of us really think about it.In a lot of the group meetings,we’ll be very strong and very opinionated.You’ve got to be careful sometimes on how you do communicate when you’re in a much larger group meeting because of that because you may have constituents in the room that don’t see us working the way we work all the time,and they may be taken aback,or they may hush up because of that.Finding2Technology entrepreneurs generate many ideas in a variety of domains;however,they almost exclusively pursue ideas within their core domain.Technology entrepreneurs are highly ideational in a variety of markets and disciplines. Nevertheless,they selectively elaborate creative ideas within a specific core domain defined as their primary area of technology and/or market specialization.Our interview protocol did not probe for noncore domain ideas;however,15interview participants described serious consideration of ideas outside their core domain.For example,one seasoned entrepreneur(with no background in human resources)was pursuing his second start-up in the marketing analytics industry,but he had nearly started a business based on his idea for a human resources Internet solution:One of the things I thought about and I got pretty serious about it,was in the HR space....And I was real serious about it,so I spent a lot of time talking with different people,I don’t know why I abandoned that,but it was right about the time that we started this,and I just realized that I needed to go all in.Another entrepreneur spent substantial time developing a business simulation product,only to abandon it for his second software start-up in the same vertical market:I had this concept of building this game...which I still think today would beextremely successful because it’s not taught anywhere,but I don’t have the resources.I’m not from that industry,so I tried to tap into the gaming industry.To me it was more of a timing thing.It just became,you know,these other things started taking off,and so this kind of took more of a backseat.Nine participants told stories of extensively socializing and prototyping trial elabo-rations of noncore domain ideas,andfive participants launched side businesses based on noncore domain ideas.However,with only one exception,all participants rejected oppor-tunities to pursue noncore domain ideas as their main full-time business,instead strictly pursuing ideas within their core domain.The one exception was afinance-oriented information technology professional who partnered with a family member(a medical domain expert)to launch a consumer medical products company.Seven interviewees described multiple repeat ventures within specialized core domains,and one participant created very similar ventures a total of three times.Participants described a self-awareness of the role of domain knowledge in their selectivity of which ideas they would pursue;some even expressed regret about decisions to pursue certain ideas in unfamiliar domains.The following quote is from a successful entrepreneur who was convinced by a venture capitalist(who had the idea for the business)to go outside his comfort zone,becoming the CEO of a social-networking start-up company:It was a[failed]idea conceived by a business person not...born out of an industry frustration.It’s very rare that some smart guy who knows nothing about a certain industry comes up with a solution for an industry.We didn’t get it at all,right?And in fact,there still is no business model for Twitter,right?Who cares if I can sign up to see if Ashton Kutcher wants to tell me that he’s having a cheeseburger,or he’s stuck in line at Starbucks or any of the stupid things that people put out over tweets,right?I didn’t get it,right?Didn’t get it at all.Finding3:Active ExperimentationTechnology entrepreneurs move quickly from research and conceptual analysis into an active experiment to concretely validate and develop important ideas.。