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Recent Advances in Qualitative Physics: (Artificial Intelligence Series)

Recent Advances in Qualitative Physics: (Artificial Intelligence Series)


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About the Book

These 28 contributions report advances in one of the most active research areas in artificial intelligence. Qualitative modeling techniques are an essential part of building second generation knowledge-based systems. This book provides an overview of the field while also giving some indications about applications that appear to be feasible now or in the near future. Chapters are organized into sections covering modelling and simulation, ontologies, computational issues and qualitative analysis. Modelling a physical system in order to simulate it or solve particular problems regarding the system is an important motivation of qualitative physics, involving formal procedures and concepts. The chapters in this section address the problem of how to set up and structure qualitative models, particularly for use in simulation. Ontology, or the science of being, is the basis for all modelling. Accordingly, chapters on ontologies discuss problems fundamental for finding representational formalism and inference mechanisms appropriate for different aspect so reasoning about physical systems. Computational issues arising from attempts to turn qualitative theories into practical software are then taken up. In addition to simulation and modelling, qualitative physics can be used to solve particular problems dealing with physical systems, and the concluding chapters present techniques for tasks ranging from the analytic analysis of behaviour to conceptual design.

Table of Contents:
Part 1 Modelling: qualitative-numeric simulation with Q3, Daniel Berleant and Benjamin Kuipers; QPC - a compiler from physical models into qualitative differential equations, James Crawford, et al; compositional modelling of physical systems, Brian Falkenhainer and Kenneth D. Forbus; self-explanatory simulations - integrating qualitative and quantitative knowledge, Kenneth D. Forbus and Brian Falkenhainer; reasoning with multiple abstraction models, Yumi Iwassaki; combining qualitative simulation and fuzzy sets, Qiang Shen and Roy Leitch; query-directed approximation, Daniel S. Weld and Sanjaya Addanki. Part 2 Ontologies: chaos, qualitative reasoning, and the predictability problem, Bernardo A. Huberman and Peter Struss; qualitative kinematics of linkages, Hyun-Kyung Kim; integrating two ontologies for electronics, Zheng-Yang Liu; qualitative change waves - the automatic detection of highway traffic incidents, Pierre Y. Van Nypelseer; naive topology - modelling the force pump, D.A. Randell, et al; qualitative vector algebra, Jerry B. Weinberg, et al. Part 3 Computational issues: reasoning about qualitative temporal information, Peter van Beek; sensor selection in complex system monitoring using information quantification and causal reasoning, Richard J. Doyle, et al; pushing the edge of the (QP) envelope, Kenneth D. Forbus; an assessment of current qualitative simulation techniques, Pierre Fouche and Benjamin Kuipers; an architecture for real-time qualitative reasoning, Thomas P. Hamilton; compiling devices - locality in a TMS, Johan de Kleer. Part 4 Qualitative analysis and design: comparative analysis and qualitative integral representations, Charles Chiu and Benjamin Kuipers; a qualitative teleological approach to cardiovascular physiology, Keith L. Downing; TEPS: thought experiments and qualitative physics problem solving, David L. Hibler and Gautam Biswas; obtaining quantitative estimates from monotone relationships, Joseph Hellerstein; qualitative reasoning in conceptual design with physical features, Takashi Kiriyama, et al; qualitative reasoning about a large system using dimensional analysis, Anil Nigam and R. Bhaskar; finding stable causal interpretations of equations, Gordon Skorstad; interaction-based invention - designing novel devices from first principles, Brian C. Williams; analytic abduction from qualitative simulation, Colin P. Williams.

About the Author :
Boi Faltings is Associate Professor of Computer Science at the Swiss Federal Institute of Technology, Lausanne. Peter Struss is Head of the Advanced Reasoning Methods Group at Siemens Corporate Research and Development in Munich. Daniel G. Bobrow is a Research Fellow in the Intelligent Systems Laboratory, Xerox Palo Alto Research Center, editor-in-chief of the Journal of Artificial Intelligence, and Chair of the Governing Board of the Cognitive Science Society. Michael Brady is Senior Research Scientist at MIT's Artifical Intelligence Laboratory. Patrick Henry Winston (1943– 2019) was Ford Professor of Artificial Intelligence and Computer Science at MIT.


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Product Details
  • ISBN-13: 9780262061421
  • Publisher: MIT Press Ltd
  • Publisher Imprint: MIT Press
  • Height: 229 mm
  • No of Pages: 470
  • Spine Width: 39 mm
  • Width: 160 mm
  • ISBN-10: 0262061422
  • Publisher Date: 07 Oct 1992
  • Binding: Hardback
  • Language: English
  • Series Title: Artificial Intelligence Series
  • Weight: 862 gr


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