Connectionism in Context / edited by Andy Clark, Rudi Lutz.

Connectionism in Context aims to broaden and extend the debate concerning the significance of connectionist models. The volume collects together a variety of perspectives by experimental and developmental psychologists, philosophers and active AI researchers. These contributions relate con- nectioni...

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Bibliographic Details
Online Access: Full Text (via Springer)
Main Author: Clark, Andy
Other Authors: Lutz, Rudi
Format: eBook
Language:English
Published: London : Springer London, 1992.
Series:Artificial intelligence and society.
Subjects:
Table of Contents:
  • 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. Connectionism and 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.