Connectionism: Theory and Practice by Steven Davis

Connectionism: Theory and Practice

EditorSteven Davis

Paperback | April 30, 1999

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Over the last decade, an emerging form of computational modeling has steadily gained the respect of many researchers as a radically new and promising approach to cognitive science. Known by a number of names, including "connectionism," "neural networks," and "parallel distributed processing"(PDP), this method of computation attempts to model the neural processes that are assumed to underlie cognitive functions in human beings. Unlike the digital computation methods used by AI researchers, connectionist models claim to approximate the kind of spontaneous, creative, and somewhatunpredictable behavior of human agents. However, over the last few years, a heated controversy has arisen over the extent to which connectionist models are able to provide successful explanations for higher cognitive processes. A central theme of this book reviews the adequacy of recent attemptsto implement higher cognitive processes in connectionist networks. Cognitive scientists, cognitive psychologists, linguists, philosophers, computer scientists, and others exploring this fascinating science will find this book essential reading.

About The Author

Steven Davis is at Simon Fraser University.

Details & Specs

Title:Connectionism: Theory and PracticeFormat:PaperbackDimensions:336 pages, 8.94 × 5.98 × 0.91 inPublished:April 30, 1999Publisher:Oxford University Press

The following ISBNs are associated with this title:

ISBN - 10:0195076664

ISBN - 13:9780195076660

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Table of Contents

1. G.E. Hinton and S. Becker: Using Coherence Assumptions to Discover the Underlying Causes of the Sensory Input2. Paul M. Churchland: A Deeper Unity: Some Feerabendian Themes in Neurocomputational Form3. David E. Rumelhart: Towards a Microstructural Account of Human Reasoning4. Mark S. Seidenberg: Connectionism without Tears5. Jeffrey L. Elman: Grammatical Structure and Distributed Representations6. Structured Representations in Connectionist Systems? Terence Horgan and John Tienson7. John Goldsmith: Local Modelling in Phonology8. William Ramsey: Connectionism and the Philosophy of Mental Representation9. Steven W. Zucker, Allan Dobbins, and Lee Iverson: Connectionism and the Computational Neurobiology of Curve Detection10. David Kirsh: PDP Learnability and Innate Knowledge of Language