The Foundations of Artificial Intelligence: A Sourcebook

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Derek Partridge, Yorick Wilks
Cambridge University Press, Apr 26, 1990 - Computers - 498 pages
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This outstanding collection is designed to address the fundamental issues and principles underlying the task of Artificial Intelligence.
 

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Contents

Introduction
1
What is AI anyway?
3
What kind of information processing is intelligence?
14
The formal foundations of AI
47
a new perspective
49
Prolegomena to a theory of mechanized formal reasoning
72
Levels of theory
95
AI a personal view
97
theories programs and rational reconstructions
237
a case study in AI methodology
247
Is AI special in regard to its methodology?
267
Is there anything special about AI?
269
What sort of a thing is an AI experiment?
274
We need better standards for AI research
282
Does connectionism provide a new paradigm for AI?
287
Why there STILL has to be a language of thought
289

Has AI helped psychology?
108
Whats in an AI program?
112
Programs and theories
119
models and theories
121
The nature of AI principles
135
Artificial methodology meets philosophy
155
The role of representations
165
Can there be? Are we?
167
Evolution error and intentionality
190
The role of programs in AI
213
What kind of field is AI?
215
the mistaken foundations of AI
223
Rational reconstruction as an AI methodology
235
Connectionism and the foundations of AI
306
Some comments on Smolensky and Fodor
327
Representation and highspeed computation in neural networks
337
The role of correctness in AI
361
Does AI have a methodology different from software engineering?
363
AI computer science and education
373
Limitations on current AI technology
381
The challenge of open systems
383
Towards a reconciliation of phenomenology and AI
396
The superarticulacy phenomenon in the context of software manufacture
411
Annotated bibliography on the foundations of AI
441
Index of names
492
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Advances in Computers, Volume 37

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