
Connectionism
Description
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(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 somewhat
unpredictable 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 attempts
to 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.
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Content
- Intro
- Contents
- 1. Using Coherence Assumptions to Discover the Underlying Causes of the Sensory Input
- Comment
- 2. A Deeper Unity: Some Feyerabendian Themes in Neurocomputational Form
- Comment
- 3. Towards a Microstructural Account of Human Reasoning
- 4. Connectionism without Tears
- Comment
- 5. Grammatical Structure and Distributed Representations
- Comment
- 6. Structured Representations in Connectionist Systems?
- 7. Local Modelling in Phonology
- 8. Connectionism and the Philosophy of Mental Representation
- 9. Connectionism and the Computional Neurobiology of Curve Detection
- 10. PDP Learnability and Innate Knowledge of Language
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