The Handbook of Artificial Intelligence, Volume I focuses on the progress in artificial intelligence (AI) and its increasing applications, including parsing, grammars, and search methods.

The book first elaborates on AI, AI handbook and literature, problem representation, search methods, and sample search programs. The text then ponders on representation of knowledge, including survey of representation techniques and representation schemes. The manuscript explores understanding natural languages, as well as machine translation, grammars, parsing, test generation, and natural language processing systems. The book also takes a look at understanding spoken language, including systems architecture and the ARPA SUR projects.

The text is a valuable source of information for computer science experts and researchers interested in pursuing further research in artificial intelligence

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Yes, you can access The Handbook of Artificial Intelligence by Paul R. Cohen, Edward A. Feigenbaum, Paul R. Cohen,Edward A. Feigenbaum in PDF and/or ePUB format, as well as other popular books in Mathematics & Mathematics General. We have over one million books available in our catalogue for you to explore.

Information

Publisher

Butterworth-Heinemann

Year

2014

ISBN

9781483214399

Topic

Mathematics

Subtopic

Mathematics General

Index

Mathematics

Front Cover
The Handbook of Artificial Intelligence
Copyright Page
Table of Contents
Dedication
LIST OF CONTRIBUTORS
PREFACE
Chapter XI. Models of Cognition
Chapter XII. Automatic Deduction
Chapter XIII. Vision
Chapter XIV. Learning and Inductive Inference
Chapter XV. Planning and Problem Solving
Bibliography
List of Abbreviations
Cumulative Indexes
NAME INDEX FOR VOLUMES I, II, AND III
SUBJECT INDEX FOR VOLUMES I, II, AND III
ABOUT THIS BOOK