The Foundations of Artificial Intelligence: A SourcebookDerek Partridge, Yorick Wilks This outstanding collection is designed to address the fundamental issues and principles underlying the task of Artificial Intelligence. |
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 |
| 492 | |
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The Foundations of Artificial Intelligence: A Sourcebook Derek Partridge,Yorick Wilks No preview available - 1990 |
Common terms and phrases
abstract Alan Bundy algorithms analysis architecture argue argument Artificial Intelligence Aunty autoepistemic logic behavior brain Bundy Cambridge chess circumscription claim closed world assumption Cognitive Science complex computer science concept connectionism connectionist defined described discussion domain Dretske Dreyfus edited engineering example expert systems explain fact Fodor formal foundations function goal heuristic human hypothesis implementation inference information processing input interaction interpretation intuitive kind knowledge learning Lenat linguistic logic programming machine mathematics meaning mechanism mental metatheory methodology mind natural language neural Newell non-monotonic reasoning objects output paper performance phenomena philosophy physical physical symbol system position predicate principles problem procedures proposed psychology question Reference CHU Reference PRZ relevant representation role rules Rumelhart scientific semantics of logic sense sentences simulation Smolensky solve space specific SPIV structure subsymbolic symbolic paradigm task techniques theoretical theory thought two-bitser understanding
