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Inhaltsangabe
1. Introduction.- Architecture and Properties l.- A Copernican Revolution.- Distributed Representations and Context Dependence.- The Nature of Thought.- 2. Action, Connectionism and Enaction: A Developmental Perspective.- Background.- Symbols, Connectionism and Innate Knowledge.- System Scale and the Control of Action.- Development, Emergence and Enaction.- Conclusion.- 3. Connectionism and Why Fodor and Pylyshyn Are Wrong.- The Case Against Connectionism.- What's Wrong with this Argument.- What's Wrong with this Defence?.- On Behalf of Neural Networks.- 4. Connectionism, Classical Cognitive Science and Experimental Psychology.- Classicism Versus Connectionism.- The Psychological Data.- Theory.- Modelling.- Conclusions.- 5. Connecting Object to Symbol in Modelling Cognition.- Symbol Systems.- The Symbolic Theory of Mind.- The Symbol Grounding Problem.- Neural Nets.- Transducers and Analogue Transformations.- Robotic Capacities: Discrimination and Identification.- Philosophical Objections to Bottom-Up Grounding of Concrete and Abstract Categories.- Categorical Perception and Category-Learning.- Neural Net and CP.- Analogue Constraints on Symbols.- 6 Active Symbols and Internal Models: Towards a Cognitive Connectionism.- Criticisms of Connectionism.- The Active Symbol.- Higher-Level Processes.- Summary and Concluding Remarks.- 7. Thinking Persons and Cognitive Science.- Extending Content.- The Credentials of Cognition.- Consciousness and What It Is Like.- Conceptualized Content and the Structure of Thinking.- Inference and Causal Systernaticity.- Reconstructing the Mind.- 8. A Brief History of Connectionism and Its Psychological Implications.- Connectionist Assumptions in Earlier Psychologies.- Comparisons of Old and New Connectionism.- Conclusions.- 9. Connectionismand Artificial Intelligence as Cognitive Models.- Artificial Intelligence.- Connectionism.- Classical AI and Connectionism.- 10. The Neural Dynamics of Conversational Coherence.- Previous Research.- A Neurally Inspired Model of Coherence.- Some Experimental Results.- How Associative Is Conversation?.- Final on the Purpose of Conversation.
1. Introduction.- Architecture and Properties l.- A Copernican Revolution.- Distributed Representations and Context Dependence.- The Nature of Thought.- 2. Action, Connectionism and Enaction: A Developmental Perspective.- Background.- Symbols, Connectionism and Innate Knowledge.- System Scale and the Control of Action.- Development, Emergence and Enaction.- Conclusion.- 3. Connectionism and Why Fodor and Pylyshyn Are Wrong.- The Case Against Connectionism.- What's Wrong with this Argument.- What's Wrong with this Defence?.- On Behalf of Neural Networks.- 4. Connectionism, Classical Cognitive Science and Experimental Psychology.- Classicism Versus Connectionism.- The Psychological Data.- Theory.- Modelling.- Conclusions.- 5. Connecting Object to Symbol in Modelling Cognition.- Symbol Systems.- The Symbolic Theory of Mind.- The Symbol Grounding Problem.- Neural Nets.- Transducers and Analogue Transformations.- Robotic Capacities: Discrimination and Identification.- Philosophical Objections to Bottom-Up Grounding of Concrete and Abstract Categories.- Categorical Perception and Category-Learning.- Neural Net and CP.- Analogue Constraints on Symbols.- 6 Active Symbols and Internal Models: Towards a Cognitive Connectionism.- Criticisms of Connectionism.- The Active Symbol.- Higher-Level Processes.- Summary and Concluding Remarks.- 7. Thinking Persons and Cognitive Science.- Extending Content.- The Credentials of Cognition.- Consciousness and What It Is Like.- Conceptualized Content and the Structure of Thinking.- Inference and Causal Systernaticity.- Reconstructing the Mind.- 8. A Brief History of Connectionism and Its Psychological Implications.- Connectionist Assumptions in Earlier Psychologies.- Comparisons of Old and New Connectionism.- Conclusions.- 9. Connectionismand Artificial Intelligence as Cognitive Models.- Artificial Intelligence.- Connectionism.- Classical AI and Connectionism.- 10. The Neural Dynamics of Conversational Coherence.- Previous Research.- A Neurally Inspired Model of Coherence.- Some Experimental Results.- How Associative Is Conversation?.- Final on the Purpose of Conversation.
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