From crabapple.srv.cs.cmu.edu!cantaloupe.srv.cs.cmu.edu!das-news.harvard.edu!noc.near.net!howland.reston.ans.net!math.ohio-state.edu!cs.utexas.edu!uunet!pipex!warwick!doc.ic.ac.uk!dapsun.lif.icnet.uk!pjk Tue Jul 27 11:35:28 EDT 1993 Article: 18057 of comp.ai Xref: crabapple.srv.cs.cmu.edu comp.ai:18057 Path: crabapple.srv.cs.cmu.edu!cantaloupe.srv.cs.cmu.edu!das-news.harvard.edu!noc.near.net!howland.reston.ans.net!math.ohio-state.edu!cs.utexas.edu!uunet!pipex!warwick!doc.ic.ac.uk!dapsun.lif.icnet.uk!pjk From: pjk@acl.lif.icnet.uk (Paul Krause ) Newsgroups: comp.ai Subject: New book on uncertainty Date: 27 Jul 1993 14:57:16 +0100 Organization: Imperial Cancer Research Fund (ICRF) Lines: 78 Sender: pjk@medawar.lif.icnet.uk Distribution: world Message-ID: <1993Jul27.143245@galen.lif.icnet.uk> NNTP-Posting-Host: medawar.lif.icnet.uk REPRESENTING UNCERTAIN KNOWLEDGE An Artificial Intelligence Approach Paul Krause and Dominic Clark A survey of current approaches to the representation of uncertain knowledge, covering: o Bayesian probability o Certainty factors o The Dempster-Shafer theory of evidence o Possibility theory and fuzzy sets o Non-monotonic logics o Endorsement and argumentation approaches intellect BOOKS ISBN 1-871516-17-X Price: 14.95 Pounds in the UK, $22.50 in the USA. The representation of uncertainty is a central issue in Artificial Intelligence (AI) and is being addressed in many different ways. Each approach has its proponents, and each has had its detractors. However, there is now an increasing move towards the belief that an eclectic approach is required to represent and reason under the many facets of uncertainty. We believe that the time is ripe for a wide ranging, yet accessible, survey of the main formalisms. In this book, we offer a broad perspective on uncertainty and approaches to managing uncertainty. Rather than provide a daunting mass of technical detail, we have focused on the foundations and intuitions behind the various schools. The aim has been to present in one volume an overview of the major issues and decisions to be made in representing uncertain knowledge. We identify the central role of managing uncertainty to AI and Expert Systems, and provide a comprehensive introduction to the different aspects of uncertainty. We then describe the rationales, advantages and limitations of the major approaches that have been taken, using illustrative examples. The book ends with a review of the lessons learned and current research directions in the field. The intended readership will include researchers and practitioners involved in the design and implementation of Decision Support Systems, Expert Systems, other Knowledge-Based Systems and in Cognitive Science. This book will also be a valuable text for students of Computer Science, Cognitive Science, Psychology and Engineering with an interest in AI or Decision Support Systems. They will find here: o A comprehensive review, with an extensive bibliography, of a field that is central to AI. o A survey of the major knowledge engineering and computational implications for the different techniques in terms of their respective requirements, merits and limitations. o Detailed worked examples and descriptions of applications. Available through your local bookshop, or from Intellect Books, 108-110 London Road, Headington, Oxford, OX3 9AW, England (Fax: 0865 750079). Please add 1.05 Pounds Sterling for postage and packing if ordering direct from Intellect. The book is available in the US from Cromland Inc., 299 Irving Street, Allentown PA 18103. *** Paul Krause EMAIL: pjk@acl.lif.icnet.uk *** *** Advanced Computation Laboratory, TEL: +44 71 269 3626 *** *** Imperial Cancer Research Fund, FAX: +44 71 269 3186 *** *** 61 Lincoln's Inn Fields, London WC2A 3PX, UK. ***