{"product_id":"minds-brains-computers-9780631212607","title":"Minds Brains Computers","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e* Emphasizes the computational theory of mind in both its digital and connectionist forms.  * Explains the basic concepts rather than particular hypotheses and experiments.  * Provides historical background to theory of mind: philosophical, psychological, biological and computational.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e\"This is a breathtaking book, providing a thoroughly engaging, richly detailed historical introduction to the fundamental ideas of cognitive science. This will be absolutely essential reading not only for students (who will benefit from the numerous exercises), but also for professionals in any one area of cognitive science who may want to know the lay of the land in other areas and who can't but benefit from the historical perspective,\" \u003ci\u003eGeorges Rey, University of Maryland\u003c\/i\u003e \u003cbr\u003e \u003cp\u003e\"There are two problems that perennially plague courses in cognitive science: students from one discipline lack an adequate background in the other disciplines crucial to the subject, and, even within their own discipline, students often don't possess the historical perspective necessary to understand how contemporary problems arose and why they are important. Harnish's rich and well-informed book is designed to solve both of these problems and it succeeds admirably.\" \u003ci\u003eStephen Stich, Rutgers University.\u003c\/i\u003e\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eList of Figures. \u003cp\u003ePreface.\u003c\/p\u003e \u003cp\u003eAcknowledgements.\u003c\/p\u003e \u003cp\u003eIntroduction: What is Cognitive Science?.\u003c\/p\u003e \u003cp\u003eBroad Construal.\u003c\/p\u003e \u003cp\u003eNarrow Construal.\u003c\/p\u003e \u003cp\u003eCognition: Broad and Narrow.\u003c\/p\u003e \u003cp\u003eComputation: Broad and Narrow.\u003c\/p\u003e \u003cp\u003eThe Working Conception of Cognitive Science.\u003c\/p\u003e \u003cp\u003eAppendix: 1978 Sloan Report.\u003c\/p\u003e \u003cp\u003eStudy Questions.\u003c\/p\u003e \u003cp\u003eSuggested Reading.\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart I: Historical Background:\u003c\/b\u003e.\u003c\/p\u003e \u003cp\u003eIntroduction.\u003c\/p\u003e \u003cp\u003e1. Associationism.\u003c\/p\u003e \u003cp\u003eIntroduction: What is Associationism?.\u003c\/p\u003e \u003cp\u003eGeneric Empiricist Associationism.\u003c\/p\u003e \u003cp\u003eVarieties of Associationism.\u003c\/p\u003e \u003cp\u003eLocke and James.\u003c\/p\u003e \u003cp\u003eThe End of Classical Associationism.\u003c\/p\u003e \u003cp\u003eStudy Questions.\u003c\/p\u003e \u003cp\u003eSuggested Reading.\u003c\/p\u003e \u003cp\u003e2. Behaviorism and Cognitivism.\u003c\/p\u003e \u003cp\u003eIntroduction.\u003c\/p\u003e \u003cp\u003eThe Rise of Behaviorism and Stimulus-Response Psychology.\u003c\/p\u003e \u003cp\u003eChallenges to Behaviorism and Stimulus-Response Psychology.\u003c\/p\u003e \u003cp\u003eCognitivism: Information Processing Psychology.\u003c\/p\u003e \u003cp\u003eStudy Questions.\u003c\/p\u003e \u003cp\u003eSuggested Reading.\u003c\/p\u003e \u003cp\u003e3. Biological Background.\u003c\/p\u003e \u003cp\u003eIntroduction.\u003c\/p\u003e \u003cp\u003eBrain Ventricles vs. Brain Substance.\u003c\/p\u003e \u003cp\u003eCortical Localization vs. Holism.\u003c\/p\u003e \u003cp\u003eNerve Net Theory vs. the Neuron Doctrine.\u003c\/p\u003e \u003cp\u003eThe First Half of the Twentieth Century.\u003c\/p\u003e \u003cp\u003eStudy Questions.\u003c\/p\u003e \u003cp\u003eSuggested Reading.\u003c\/p\u003e \u003cp\u003e4. Neuro-Logical Background.\u003c\/p\u003e \u003cp\u003eIntroduction.\u003c\/p\u003e \u003cp\u003eNeural Networks and the Logic of Propositions.\u003c\/p\u003e \u003cp\u003ePerceptrons.\u003c\/p\u003e \u003cp\u003eLinear Separability and XOR: McCulloch and Pitts Nets and Perceptrons.\u003c\/p\u003e \u003cp\u003eSimple Detector Semantics.\u003c\/p\u003e \u003cp\u003eStudy Questions.\u003c\/p\u003e \u003cp\u003eSuggested Reading.\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart II: The Digital Computational Theory of Mind:\u003c\/b\u003e.\u003c\/p\u003e \u003cp\u003eIntroduction.\u003c\/p\u003e \u003cp\u003e5. A Sample Artificial Intelligence Model: SHRDLU.\u003c\/p\u003e \u003cp\u003eIntroduction.\u003c\/p\u003e \u003cp\u003eSHRDLU Dialogue.\u003c\/p\u003e \u003cp\u003eThe Program.\u003c\/p\u003e \u003cp\u003eLimitations.\u003c\/p\u003e \u003cp\u003eHistorical Role of SHRDLU.\u003c\/p\u003e \u003cp\u003eStudy Questions.\u003c\/p\u003e \u003cp\u003eSuggested Reading.\u003c\/p\u003e \u003cp\u003e6. Architecture(s).\u003c\/p\u003e \u003cp\u003eIntroduction: Some Preliminary Concepts.\u003c\/p\u003e \u003cp\u003eTuring Machines.\u003c\/p\u003e \u003cp\u003evon Neumann Machines.\u003c\/p\u003e \u003cp\u003eProduction Systems.\u003c\/p\u003e \u003cp\u003eIntermezzo: Pandemonium.\u003c\/p\u003e \u003cp\u003eTaxonomizing Architectures (I).\u003c\/p\u003e \u003cp\u003eStudy Questions.\u003c\/p\u003e \u003cp\u003eSuggested Reading.\u003c\/p\u003e \u003cp\u003e7. Representation(s).\u003c\/p\u003e \u003cp\u003eIntroduction: The Variety of Representations: Some Standard High Level Formats.\u003c\/p\u003e \u003cp\u003eThe Nature of Digital Computational Representation.\u003c\/p\u003e \u003cp\u003eInterpretational Semantics.\u003c\/p\u003e \u003cp\u003eStudy Questions.\u003c\/p\u003e \u003cp\u003eSuggested Reading.\u003c\/p\u003e \u003cp\u003e8. The Digital Computational Theory of Mind.\u003c\/p\u003e \u003cp\u003eIntroduction.\u003c\/p\u003e \u003cp\u003eFrom the Representational Theory of Mind to the Computational Theory of Mind.\u003c\/p\u003e \u003cp\u003eThe Digital Computational Theory of Mind and the Language of Thought.\u003c\/p\u003e \u003cp\u003eDCTM and the Mind-Body Problem.\u003c\/p\u003e \u003cp\u003eDCTM and Representational Content.\u003c\/p\u003e \u003cp\u003eDCTM and Consciousness (I).\u003c\/p\u003e \u003cp\u003eModular (Cognitive) Architectures.\u003c\/p\u003e \u003cp\u003eAppendix: Modularity: Gall vs. Fodor.\u003c\/p\u003e \u003cp\u003eStudy Questions.\u003c\/p\u003e \u003cp\u003eSuggested Reading.\u003c\/p\u003e \u003cp\u003e9. Criticisms of the Digital Computational Theory of Mind.\u003c\/p\u003e \u003cp\u003eIntroduction: The Turing Test (Again).\u003c\/p\u003e \u003cp\u003eAgainst Strong AI: Searle and the Chinese Room.\u003c\/p\u003e \u003cp\u003eThe Digital Computational Mind in the Chinese Room.\u003c\/p\u003e \u003cp\u003eThe DCTM and Consciousness (II).\u003c\/p\u003e \u003cp\u003eThe DCTM and Mental Content.\u003c\/p\u003e \u003cp\u003eAgainst Cognitivism.\u003c\/p\u003e \u003cp\u003eDCTM Hardward and the Brain.\u003c\/p\u003e \u003cp\u003eThe Domain and Scope of the DCTM.\u003c\/p\u003e \u003cp\u003eStudy Questions.\u003c\/p\u003e \u003cp\u003eSuggested Reading.\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart III: Connectionist Computational Theory of Mind:\u003c\/b\u003e.\u003c\/p\u003e \u003cp\u003eIntroduction.\u003c\/p\u003e \u003cp\u003e10. Sample Connectionist Networks.\u003c\/p\u003e \u003cp\u003eIntroduction.\u003c\/p\u003e \u003cp\u003eJets and Sharks.\u003c\/p\u003e \u003cp\u003eNETtalk.\u003c\/p\u003e \u003cp\u003eStudy Questions.\u003c\/p\u003e \u003cp\u003eFurther Reading.\u003c\/p\u003e \u003cp\u003e11. Connectionism: Basic Notions and Variations.\u003c\/p\u003e \u003cp\u003eIntroduction.\u003c\/p\u003e \u003cp\u003eBasic Notions and Terminology.\u003c\/p\u003e \u003cp\u003eLearning and Training.\u003c\/p\u003e \u003cp\u003eRepresentation(s).\u003c\/p\u003e \u003cp\u003eGeneric Connectionism.\u003c\/p\u003e \u003cp\u003eStudy Questions.\u003c\/p\u003e \u003cp\u003eSuggested Reading.\u003c\/p\u003e \u003cp\u003e12. The Connectionist Computational Theory of Mind.\u003c\/p\u003e \u003cp\u003eIntroduction.\u003c\/p\u003e \u003cp\u003eThe Connectionist Computational Theory of Mind.\u003c\/p\u003e \u003cp\u003eMotivations for the CCTM.\u003c\/p\u003e \u003cp\u003eA Bit of History: Connectionism and Associationism.\u003c\/p\u003e \u003cp\u003eInterpreting Connectionism: PTC.\u003c\/p\u003e \u003cp\u003eTaxonomizing Architectures (II).\u003c\/p\u003e \u003cp\u003eAppendix: Connectionism and Turing's Unorganized Machines.\u003c\/p\u003e \u003cp\u003eStudy Questions.\u003c\/p\u003e \u003cp\u003eSuggested Reading.\u003c\/p\u003e \u003cp\u003e13. Criticisms of the Connectionist Computational Theory of Mind.\u003c\/p\u003e \u003cp\u003eIntroduction.\u003c\/p\u003e \u003cp\u003eDifferences: The CCTM and the Brain.\u003c\/p\u003e \u003cp\u003eCCTM: Lures of Connectionism.\u003c\/p\u003e \u003cp\u003eCCTM and The Chinese Gym.\u003c\/p\u003e \u003cp\u003eCCTM and Propositional Attitudes.\u003c\/p\u003e \u003cp\u003eCCTM Detector Semantics.\u003c\/p\u003e \u003cp\u003eCCTM: Problems and Prospects.\u003c\/p\u003e \u003cp\u003eStudy Questions.\u003c\/p\u003e \u003cp\u003eSuggested Reading.\u003c\/p\u003e \u003cp\u003eCoda: Computation for Cognitive Science or What IS a Computer, Anyway?.\u003c\/p\u003e \u003cp\u003eIntroduction.\u003c\/p\u003e \u003cp\u003eFunctional View of Computers.\u003c\/p\u003e \u003cp\u003eLevels of Description View of Computers.\u003c\/p\u003e \u003cp\u003eCombined Functional-Descriptive View of Computers.\u003c\/p\u003e \u003cp\u003eLevels of Computation: Stabler.\u003c\/p\u003e \u003cp\u003eDigital and Connectionist Computers.\u003c\/p\u003e \u003cp\u003eIs Everything a Computer?.\u003c\/p\u003e \u003cp\u003eStudy Questions.\u003c\/p\u003e \u003cp\u003eSuggested Reading.\u003c\/p\u003e \u003cp\u003eBibliography.\u003c\/p\u003e \u003cp\u003eIndex.\u003c\/p\u003e","brand":"John Wiley and Sons Ltd","offers":[{"title":"Default Title","offer_id":49403423555927,"sku":"9780631212607","price":38.9,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780631212607.jpg?v=1730483427","url":"https:\/\/bookcurl.com\/products\/minds-brains-computers-9780631212607","provider":"Book Curl","version":"1.0","type":"link"}