The Foundations of artificial intelligence : a sourcebook /
This outstanding collection is designed to address the fundamental issues and principles underlying the task of Artificial Intelligence. The editors have selected not only papers now recognized as classics but also many specially commissioned papers which examine the methodological and theoretical f...
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| Other Authors: | , |
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| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cambridge :
Cambridge University Press,
1990.
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| Subjects: | |
| Online Access: | CONNECT |
Table of Contents:
- What is AI anyway? / Roger C. Schank
- What kind of information processing is intelligence? / B. Chandrasekaran
- Non-monotonic reasoning versus logic programming : a new perspective / Teodor C. Przymusinski
- Prolegomena to a theory of mechanized formal reasoning / Richard W. Weyhrauch
- AI : a personal view / David Marr
- Has AI helped psychology? / Margaret A. Boden
- What's in an AI program? / Derek Partridge
- One small head : models and theories / Yorick Wilks
- The nature of AI principles / Alan Bundy and Stellan Ohlsson
- Artificial methodology meets philosophy / Thomas W. Simon
- Thinking machines : can there be? are we? / Terry Winograd
- Evolution, error, and intentionality / Daniel C. Dennett
- What kind of field is AI? / Alan Bundy
- Programs in the search for intelligent machines : the mistaken foundations of AI / Eric Dietrich.
- Three novelties of AI : theories, programs and rational reconstructions / J.A. Campbell
- AM : a case study in AI methodology / G.D. Ritchie and F.K. Hanna
- Is there anything special about AI? / Roger M. Needham
- What sort of a thing is an AI experiment? / Karen Sparck Jones
- We need better standards for AI research / John McCarthy
- Why there STILL has to be a language of thought / Jerry A. Fodor
- Connectionism and the foundations of AI / Paul Smolensky
- Some comments on Smolensky and Fodor / Yorick Wilks
- Representation and high-speed computation in neural networks / Paul M. Churchland
- Does AI have a methodology different from software engineering? / Derek Partridge and Yorick Wilks
- AI, computer science and education / Ranan Banerji
- The challenge of open systems / Carl Hewitt.
- Towards a reconciliation of phenomology and AI / Stuart E. Dreyfus and Hubert L. Dreyfus
- The superarticulacy phenomenon in the context of software manufacture / Donald Michie.
