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<title>QR Book</title><!-- Changed by: Benjamin J. Kuipers, 26-Jan-1996 --><body bgcolor="#ffffff" text="#000000" link="#0000ee" vlink="551a8b" alink="ff0000"><H2>Benjamin Kuipers, <i>Qualitative Reasoning: Modeling and Simulation with IncompleteKnowledge</i></H2><H4>Cambridge, MA: MIT Press, 1994.414+xxvii pages, $45. ISBN 0-262-11190-X.</H4><p><!WA0><img align=top src="http://www.cs.utexas.edu/users/qr/QR-cover-small.gif"><H2>Reviews</H2> <ul> <li> <!WA1><a href="file://ftp.cs.utexas.edu/pub/qsim/papers/QR-book-review-Davis.ps.Z"> Ernie Davis, <em>IEEE Expert</em></a>, December 1994, pages 70-71. <br> "An engaging exploration of QSIM and its extensions." <P><em>This book is a major contribution to the field. For the student,it is the best introduction to qualitative simulation that has beenwritten. For the researcher, it summarizes more than 10 years of workon a very successful and productive research project.</em> <P> <li> <!WA2><a href="http://www.cs.utexas.edu/users/qr/acm-cr-review.html"> C. Lucaciu, <em>ACM Computing Reviews</em></a>, July 1995, [9507-0463], pages 349-350. <P><em>The book is a sparkling discourse that will engage the reader.The many recent references offer a solid basis for anyone beginning anadventure in modeling and simulation with incomplete knowledge. </em><p> <li> <!WA3><a href="file://ftp.cs.utexas.edu/pub/qsim/papers/QR-book-review-Sacks.ps.Z"> Elisha Sacks, <em>AI Magazine</em></a>, Summer 1995, pages 81-82. <P><em>Kuipers sets himself the twin goals of describing his research andwriting a textbook. He succeeds brilliantly at the first goal. Thebook is well organized, well reasoned, well written, and wellillustrated. The ideas are clearly stated, the formalization isconcise and precise, and the algorithms are explained in detail. Thenumerous examples and figures illustrate every aspect of the research. ... The clear and detailed exposition makes it a fine course text when supplementedon a few topics.</em> <P> <li> <!WA4><a href="http://www.cs.utexas.edu/users/qr/frank-review.html"> Andrew Frank, <em>Int. J. of Geographic Information Systems</em></a> <b>10</b>(2), March 1996, pages 242-243. <P><em>This book may become a very important book for Geographic Systemsand for geography in general, despite the fact, that it does notdiscuss anything geographical or spatial in its 400 pages. ... Itmust be hoped that many geographers use the methods to modelgeographical processes and to explore the dynamic behavior of systemsin physical and human geography. Many M.Sc. or Ph.D. thesis couldbenefit from the rigor of the method and the application of thesoftware. Modeling of dynamic systems - a la Forrester's UrbanDynamics - become feasible, even in the absence of detailedquantitative knowledge. </em><p> </ul> <p><hr><h2>Abstract</h2>After fifteen years of work, the world of qualitative reasoningaccording to the QSIM viewpoint is now described in a single book. <p>Qualitative reasoning is one of the most vigorous areas in artificialintelligence. This book presents, within a conceptually unifiedtheoretical framework, a body of methods that have been developed overthe past fifteen years for building and simulating qualitative modelsof physical systems (bathtubs, tea kettles, automobiles, thephysiology of the body, chemical processing plants, control systems,electrical circuits, and the like) where knowledge of that system isincomplete. The primary tool for this work is the author's QSIMalgorithm which is discussed in detail. <P> Qualitative models are more able than traditional models to expressstates of incomplete knowledge about continuous mechanisms.Qualitative simulation guarantees to find all possible behaviorsconsistent with the knowledge in the model. This expressive power andcoverage are important in problem-solving for diagnosis, design,monitoring, and explanation. <P> The framework is built around the QSIM algorithm for qualitativesimulation, and the QSIM representation for qualitative differentialequations, both of which are carefully grounded in continuousmathematics. Qualititative simulation draws on a wide range ofmathematical methods to keep a complete set of predictions tractable,including the use of partial quantitative information. Compositionalmodeling and component-connection methods for building qualitativemodels are also discussed in detail. <P> Qualitative Reasoning is primarily intended for advanced students and researchers in AI or its applications. Scientists and engineers who have had a solid introduction to AI, however, will be able to use this book forself instruction in qualitative modeling and simulation methods. <P> Benjamin Kuipers is Bruton Centennial Professor in Computer Sciencesat the University of Texas at Austin.<hr><ul> <li> <!WA5><a href="file://ftp.cs.utexas.edu/pub/qsim/papers/QR-book-toc.ps.Z">Table of Contents</a>. <p> <li> <!WA6><a href="http://www-mitpress.mit.edu/mitp/recent-books/comp/kuipers.html"> The MIT Press online catalog entry</a>. <P> <li> Cover illustration: <!WA7><a href="http://www.cs.utexas.edu/users/qr/QR-cover-large.gif"> Large: 255K</a>; <!WA8><a href="http://www.cs.utexas.edu/users/qr/QR-cover-small.gif"> Small: 62K</a>. </ul><hr><h2> MIT Press ordering information </h2><pre>Available from bookstores or directly from The MIT Press.For orders in the US, please contact: The MIT Press 55 Hayward Street Cambridge, MA 02142-1399 Phone: +1 (617) 625-8569 Fax: +1 (617) 625-6660 E-mail: mitpress-orders@mit.edu mitpress-orders-inq@mit.edu for Customer ServiceFor orders and inquiries in the UK, Eire, and continental Europe,please contact our London office: The MIT Press Fitzroy House 11 Chenies Street London WC1E 7ET, England Phone: +44 (071) 306-0603 Fax: +44 (071) 306-0604 E-mail: 100315.1423@compuserve.comIn Australia, please contact our distributor: Astam Books 57-61 John Street Leichhardt, NSW 2040 Phone: (02) 566-4400 Fax: (02) 566-4411In all other countries, please contact: International Department The MIT Press 55 Hayward Street Cambridge, MA 02142 Phone: +1 (617) 253-2887 Fax: +1 (617) 253-1709 E-mail: curtin@mit.eduPlease note that prices may be higher outside the US.</pre><hr><address><!WA9><a href="http://www.cs.utexas.edu/users/kuipers">BJK</a></address>⌨️ 快捷键说明
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