Qualitative reasoning modeling and simulation with incomplete knowledge Benjamin Kuipers. The MIT Press series in artificial intelligence.

Kuipers, Benjamin:

ISBN 10: 026211190X / ISBN 13: 9780262111904

Published by Cambridge Massachusetts London, The MIT Press [1994]., 1994

About this Item

Ex-library with stamp and library-signature. GOOD condition, some traces of use. Ancien Exemplaire de bibliothèque avec signature et cachet. BON état, quelques traces d'usure. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. C 762 9780262111904 Sprache: Englisch Gewicht in Gramm: 550.

Seller Inventory # 2498291

Bibliographic Details

• Title: Qualitative reasoning modeling and simulation with incomplete knowledge Benjamin Kuipers. The MIT Press series in artificial intelligence.
• Publisher: Cambridge Massachusetts London, The MIT Press [1994].
• Publication Date: 1994
• Language: English
• ISBN 10: 026211190X
• ISBN 13: 9780262111904
• Binding: Hardcover
• Weight: 550 grams
• Seller catalogs:
  • SA MATHEMATIK

About this title

Synopsis

This book presents, within a conceptually unified theoretical framework, a body of methods that have been developed over the past fifteen years for building and simulating qualitative models of physical systems—bathtubs, tea kettles, automobiles, the physiology of the body, chemical processing plants, control systems, electrical systems—where knowledge of that system is incomplete. The primary tool for this work is the author's QSIM algorithm, which is discussed in detail.

Qualitative models are better able than traditional models to express states of incomplete knowledge about continuous mechanisms. Qualitative simulation guarantees to find all possible behaviors consistent with the knowledge in the model. This expressive power and coverage is important in problem solving for diagnosis, design, monitoring, explanation, and other applications of artificial intelligence.

The framework is built around the QSIM algorithm for qualitative simulation and the QSIM representation for qualitative differential equations, both of which are carefully grounded in continuous mathematics. Qualitative simulation draws on a wide range of mathematical methods to keep a complete set of predictions tractable, including the use of partial quantitative information. Compositional modeling and component-connection methods for building qualitative models are also discussed in detail.

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 for self-instruction in qualitative modeling and simulation methods.

Artificial Intelligence series

About the Author

Benjamin Kuipers is Bruton Centennial Professor in Computer Sciences at the University of Texas at Austin.