Artificial Intelligence Through Search
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Artificial Intelligence Through Search
Description
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.
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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