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Artificial Intelligence Through Search (Hardcover, 1992 ed.)
Loot Price: R4,535
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Artificial Intelligence Through Search (Hardcover, 1992 ed.)
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This is an important textbook on artificial intelligence that uses
the unifying thread of search to bring together most of the major
techniques used in symbolic artificial intelligence. The authors,
aware of the pitfalls of being too general or too academic, have
taken a practical approach in that they include program code to
illustrate their ideas. Furthermore, code is offered in both POP-11
and Prolog, thereby giving a dual perspective, highlighting the
merits of these languages. Each chapter covers one technique and
divides up into three sections: a section which introduces the
technique (and its usual applications) andsuggests how it can be
understood as a variant/generalisation of search; a section which
developed a `low'-level (POP-11) implementation; a section which
develops a high-level (Prolog) implementation of the technique. The
authors also include useful notes on alternative treatments to the
material, further reading and exercises. As a practical book it
will be welcomed by a wide audience including, those already
experienced in AI, students with some background in programming who
are taking an introductory course in AI, and lecturers looking for
a precise, professional and practical text book to use in their AI
courses. About the authors: Dr Christopher Thornton has a BA in
Economics, an Sc in Computer Science and a DPhil in Artificial
Intelligence. Formerly a lecturer in the Department of AI at the
University of Edinburgh, he is now a lecturer in AI in the School
of Cognitive and Computing Sciences at the University of Sussex.
Professor Benedict du Boulay has a BSc in Physics and a PhD in
Artificial Intelligence. Previously a lecturer in the Department of
Computing Science at the University of Aberdeen he is currently
Professor of Artificial Intelligence, also in the School of
Cognitive and Computing Sciences, University of Sussex.
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