Connectionism and the Mind: Parallel Processing, Dynamics, and Evolution in Networks / Edition 2

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Connectionism and the Mind, Second Edition introduces connectionist networks and explores theoretical and philosophical implications. Much of the discussion has been updated, and 2 new chapters have been added on the relation of connectionism to recent work on artificial life and dynamical models of cognition.

Connectionist models (also known as artificial neural network or parallel distributed processing models) implement the idea that complex cognitive operations can be carried out by very simple, neuron-like elements when they are assembled into networks by means of weighted connections. Intelligent performance is derived from the propagation of activation across units, and the fundamental cognitive activity is pattern recognition and completion.

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Editorial Reviews

From the Publisher
"Much more than just an update, this is a thorough and excitingre-build of the classic text. Excellent new treatments ofmodularity, dynamics, artificial life, and cognitive neurosciencelocate connectionism at the very heart of contemporary debates. Asuperb combination of detail, clarity, scope, and enthusiasm."Andy Clark, University of Sussex

"Connectionism and the Mind is an extraordinarilycomprehensive and thoughtful review of connectionism, withparticular emphasis on recent developments. This new edition willbe a valuable primer to those new to the field. But there is more:Bechtel and Abrahamsen's trenchant and even-handed analysis of theconceptual issues that are addressed by connectionist modelsconstitute an important original theoretical contribution tocognitive science." Jeff Elman, University of California atSan Diego

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Product Details

  • ISBN-13: 9780631207139
  • Publisher: Wiley
  • Publication date: 1/28/2002
  • Edition description: REV
  • Edition number: 2
  • Pages: 424
  • Product dimensions: 6.85 (w) x 9.75 (h) x 1.25 (d)

Meet the Author

William Bechtel is Professor of Philosophy at the Universityof California, San Diego and Editor of the journal PhilosophicalPsychology. His publications include Philosophy of Mind(1988), Philosophy of Science (1988), and DiscoveringComplexity (1993, with Robert Richardson), A Companion toCognitive Science (with George Graham, Blackwell 1999),Philosophy and the Neurosciences (with Pete Mandik, JenneferMundale and Robert S. Stufflebeam, Blackwell 2001).

Adele Abrahamsen is Associate Professor of Psychology andUndergraduate Director of the Philosophy-Neuroscience-Psychologyand Linguistics Programs at Washington University in St. Louis. Sheis the author of Child Language (1977).

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Table of Contents


1. Networks versus Symbol Systems: Two Approaches to ModelingCognition:.

A Revolution in the Making?.

Forerunners of Connectionism: Pandemonium and Perceptrons.

The Allure of Symbol Manipulation.

The Disappearance and Re-emergence of Network Models.

New Alliances and Unfinished Business.


Sources and Suggested Readings.

2. Connectionist Architectures:.

The Flavor of Connectionist Processing: A Simulation of MemoryRetrieval.

The Design Features of a Connectionist Architecture.

The Allure of the Connectionist Approach.

Challenges Facing Connectionist Networks.



Sources and Suggested Readings.

3. Learning:.

Traditional and Contemporary Approaches to Learning.

Connectionist Models of Learning.

Some Issues Regarding Learning.


Sources and Suggested Readings.

4. Pattern Recognition and Cognition:.

Networks as Pattern Recognition Devices.

Extending Pattern Recognition to Higher Cognition.

Logical Inference as Pattern Recognition.

Beyond Pattern Recognition.


Sources and Suggested Readings.

5. Are Rules Required to Process Representations?:.

Is Language Use Governed by Rules?.

Rumelhart and McClelland's Model of Past-Tense Acquisition.

Pinker and Prince's Arguments for Rules.

Accounting for the U-Shaped Learning Function.



Sources and Suggested Readings.

6. Are Syntactically Structured RepresentationsNeeded?:.

Fodor and Pylyshyn's Critique: The Need for SymbolicRepresentations with Constituent Structure.

First Connectionist Response: Explicitly Implementing Rules andRepresentations.

Second Connectionist Response: Implementing FunctionallyCompositional Representations.

Third Connectionist Response: Employing Procedural Knowledgewith External Symbols.

Using External Symbols to Provide Exact Symbol Processing.

Clarifying the Standard: Systematicity and Degree ofGeneralizability.



Sources and Suggested Readings.

7. Simulating Higher Cognition: A Modular Architecture forProcessing Scripts:.

Overview of Scripts.

Overview of Miikkulainen's DISCERN System.

Modular Connectionist Architectures.

FGREP: An Architecture that Allows the System to Devise Its OwnRepresentations.

A Self-organizing Lexicon using Kohonen Feature Maps.

Encoding and Decoding Stories as Scripts.

A Connectionist Episodic Memory.

Performance: Paraphrasing Stories and Answering Questions.

Evaluating DISCERN.

Paths Beyond the First Decade of Connectionism.


Sources and Suggested Readings.

8. Connectionism and the Dynamical Approach toCognition:.

Are We on the Road to a Dynamical Revolution?.

Basic Concepts of DST: The Geometry of Change.

Using Dynamical Systems Tools to Analyze Networks.

Putting Chaos to Work in Networks.

Is Dynamicism a Competitor to Connectionism?.

Is Dynamicism Complementary to Connectionism?.



Sources and Suggested Readings.

9. Networks, Robots, and Artificial Life:.

Robots and the Genetic Algorithm.

Cellular Automata and the Synthetic Strategy.

Evolution and Learning in Food-seekers.

Evolution and Development in Khepera.

The Computational Neuroethology of Robots.

When Philosophers Encounter Robots.


Sources and Suggested Readings.

10. Connectionism and the Brain:.

Connectionism Meets Cognitive Neuroscience.

Four Connectionist Models of Brain Processes.

The Neural Implausibility of Many Connectionist Models.

Wither Connectionism?.


Sources and Suggested Readings.

Appendix A: Notation.

Appendix B: Glossary.


Name Index.

Subject Index.

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