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Christopher Thornton - Artificial Intelligence: Strategies, Applications, and Models Through Search, 2nd Edition

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ARTIFICIAL INTELLIGENCE Strategies, Applications, and Models Through Search Second Edition This innovative new book on artificial intelligence (AI) uses the unifying thread of SEARCH to bring together the major application and modeling techniques that use symbolic AI. Each of the eleven chapters is divided into three sections: ** a section which introduces the technique ** a section which develops a low-level (POP-11) implementation ** a section which develops a high-level (Prolog) implementation Comprehensive yet practical, this book will be of great value to those experienced in AI, as well as to students with some programming background and academics and professionals looking for a precise discussion of artificial intelligence through SEARCH.

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title Artificial Intelligence Strategies Applications and Models - photo 1

title:Artificial Intelligence : Strategies, Applications, and Models Through SEARCH
author:Thornton, Christopher James.; Du Boulay, Ben.
publisher:AMACOM Books
isbn10 | asin:0814404707
print isbn13:9780814404706
ebook isbn13:9780585039060
language:English
subjectArtificial intelligence--Data processing, POP (Computer program language)
publication date:1998
lcc:Q336.T46 1998eb
ddc:006.3
subject:Artificial intelligence--Data processing, POP (Computer program language)
Page iii
Artificial Intelligence
Strategies, Applications, and Models Through Search Second Edition
CHRISTOPHER THORNTON
BENEDICT du BOULAY
AMACOM
New York Atlanta Boston Chicago Kansas City San Francisco Washington, D.C.
Brussels Mexico City Tokyo Toronto
Page iv
1998 Intellect
ISBN: 0-8144-0470-7
All rights reserved. No part of this book may be reproduced in any form or by any means, electronic, mechanical photocopying, recording, or otherwise without the prior written permission of the publisher.
Printed in the United States of America.
AMACOM
AMERICAN MANAGEMENT ASSOCIATION
1601 Broadway
New York, New York 10019
Visit the American Management Association and
AMACOM on-line at:
http://www.amanet.org
Page v
Foreword
This book started out as a set of notes for a POP-11 based course at the University of Sussex on an introduction to Artificial Intelligence. Chris Thornton designed this course around the fundamental idea of search and devised the basic structure of the book. The course expanded to take in Prolog and was then taught by Benedict du Boulay. He added Prolog variants to the POP-11 code. The course is now taught by Steve Easterbrook who made several helpful comments on a draft of the book, as did Mike Sharples. We thank Aaron Sloman and David Hogg for use of their method of writing a simple natural language interface to a blocksworld, and Allan Ramsay and Rosalind Barrett for permission to adapt their "weather rules" in the chapter on expert systems. We also thank various Sussex students who pointed out errors and omissions, particularly Sarah Cole, who carefully proof-read parts of an earlier draft. The programs were developed and the book written using the POPLOG programming environment.
Benedict du Boulay would like to dedicate his contribution to this book to his friend Hugh Noble with whom he started to write a text book not unlike this one but never finished it.
Page vii
Contents
1 Search-Related Techniques in AI
1
Picture 2
Why search
1
Picture 3
Objectives
2
Picture 4
Problem solving systems
3
Picture 5
State space search and problem reduction
4
Picture 6
Blind search and heuristic search
5
Picture 7
Graphs and trees
7
Picture 8
Organisation of the book
8
Picture 9
Searching for a solution path in a state space
8
Picture 10
Problem reduction
10
Picture 11
A very brief comparison of POP-11 and Prolog
13
Picture 12
Further reading
14
2 Simple State Space Search
15
Picture 13
Path-finding
15
Picture 14
Setting up the database
16
Picture 15
Setting up the path-finding function
19
Picture 16
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