Connectionism and the Philosophy of Psychology

Overview

Human cognition is soft. It is too flexible, too rich, and too open-ended to be captured by hard (precise, exceptionless) rules of the sort that can constitute a computer program. In Connectionism and the Philosophy of Psychology, Horgan and Tienson articulate and defend a new view of cognition. In place of the classical paradigm that take the mind to be a computer (or a group of linked computers), they propose that the mind is best understood as a dynamical system realized in a neural network.

Although Horgan and Tienson assert that cognition cannot be understood in classical terms of the algorithm-governed manipulation of symbols, they don't abandon syntax. Instead, they insist that human cognition is symbolic, and that cognitive processes are sensitive to the structure of symbols in the brain: the very richness of cognition requires a system of mental representations within which there are syntactically complex symbols and structure-sensitive processing.

However, syntactic constituents need not be parts of complex representations, and structure sensitive processes need not conform to algorithms. Cognition requires a language of thought, but a language of thought implicated in processes that are not governed by hard rules. Instead, symbols are generated and transformed in response to interacting cognitive forces, which are determined by multiple, simultaneous, (robustly) soft constraints. Thus, cognitive processes conform to soft (ceteris paribus) laws, rather than to hard laws. Cognitive forces are subserved by, but not identical with, physical forces in a network; the organization and the interaction of cognitive forces are best understood in terms of the mathematical theory of dynamical systems.

The concluding chapter elaborates the authors' proposed dynamical cognition framework.

A Bradford Book

Table of Contents

  1. Preface
  2. 1. Introduction and Overview
  3. 2. The Fundamental Assumptions of Classical Cognitive Science
  4. 3. What Is Wrong with Classical Cognitive Science
  5. 4. Cognitive Systems as Dynamical Systems: A Nonclassical Framework for Cognitive Science
  6. 5. Why There Still Has to Be a Language of Thought, and What That Means
  7. 6. Mental Causation without Rules
  8. 7. Standard-Conception Laws and Soft Laws
  9. 8. Soft Laws and Psychological Explanation
  10. 9. Noncomputable Dynamical Cognition
  11. Notes
  12. References
  13. Index