The Foundations of Artificial Intelligence

A Sourcebook

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Paperback | 25 June 1990

At a Glance

Paperback
516 Pages

Edition Type
Annotated

Dimensions(cm)
23.39 x 15.6 x 2.64

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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 foundations of the discipline from a wide variety of perspectives: computer science and software engineering, cognitive psychology, philosophy, formal logic and linguistics. Carefully planned and structured, the volume tackles many of the contentious questions of immediate concern to AI researchers and interested observers. Is Artificial Intelligence in fact a discipline, or is it simply part of computer science? What is the role of programs in AI and how do they relate to theories? What is the nature of representation and implementation, and how should the challenge of connectionism be viewed? Can AI be characterized as an empirical science? The comprehensiveness of this collection is further enhanced by the full, annotated bibliography. All readers who want to consider what Artificial Intelligence really is will find this sourcebook invaluable, and the editors will undoubtedly succeed in their secondary aim of stimulating a lively and continuing debate.

Industry Reviews

"A nontechnical treatment of AI, recommended for general readers." Choice "...a valuable resource and a model for future publications." William Hunt, Canadian Artificial Intelligence "...any reader who wants to stop at the question as to what AI really is will find this collection of papers a valuable sourcebook." G.A.W. Vreeswijk, Mathematical Reviews

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You Can Find This Book In

Non-Fiction Language & Linguistics Linguistics Computing & I.T.Computer Science Artificial Intelligence Natural Language & Machine Translation

List of contributors
Preface
Acknowledgements
Introduction
What is AI anyway?
What kind of information processing is intelligence?
The Formal Foundations of AI
Non-monotonic reasoning versus logic programming: a new perspective
Prolegomena to a theory of mechanized formal reasoning
Levels of Theory
AI: a personal view
Has AI helped psychology?
What's in an AI program?
Programs and Theories
One smal head: models and theories
The nature of AI principles
What's in an AI program?
The Role of Representations
Thinking machines: can there be? are we?
Evolution, error, and intentionality
The Role of Programs in AI
What kind of fields is AI?
Programs in the search for intelligent machines: the mistaken foundations of AI
Rational Reconstruction as an
The novelties of AI: theories, rograms and rational reconstructions
AM: a case study in AI methodology
Is AI Special in Regard to its Methodology?
Is there anything special about AI?
What sort of a thing is an AI experiment?
We need better standards for AI research
Does Connectionism Provide a New Paradigm for AI?
Why there still has to be a language of thought
Connectionism and the foundations of AI Paul Smolensky
Some comments on Smolensky
Representation and high-speed computation in neural networks
The Role of Correctness in AI
Does AI have a methodology different from software engineering?
AI, computer science and education
Limitations on Current AI Technology
The challenge of open systems
Towards a reconciliation of phenomenology and AI
The superarticulacy phenomenon in the context of software manufacture
Annotated Bibliography on the Foundations of AI Imre Balogh
Index of names
Table of Contents provided by Publisher. All Rights Reserved.

The Foundations of Artificial Intelligence

A Sourcebook

At a Glance

Paperback

Industry Reviews

Shipping

How to return your order

Defective items

You Can Find This Book In

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