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Inhaltsverzeichnis
- 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.
- 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.