Automated modeling of physical systems /
Nayak, P. Pandurang.
Automated modeling of physical systems / P. Pandurang Nayak. - 1 online resource (xx, 232 pages) : illustrations - Lecture notes in computer science ; Lecture notes in artificial intelligence 1003. . - Lecture notes in computer science ; 1003. Lecture notes in computer science. Lecture notes in artificial intelligence. .
Includes bibliographical references (pages 227-232).
1. Introduction -- 2. Models and model fragments -- 3. Adequate models -- 4. Complexity of model selection -- 5. Causal approximations -- 6. Differential equations -- 7. Order of magnitude reasoning -- 8. Model selection program and results -- 9. Related work -- 10. Conclusions -- A. Examples of causal approximations -- B. Example devices -- C. Composable operators -- D. Matching in bipartite graphs.
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In this monograph the author investigates the problem of selecting adequate models for reasoning about physical systems and applications to engineering problem solving. An elegant treatment of both the theoretical and practical aspects is presented: the problem is precisely formalized, its computational complexity is analyzed in detail, and an efficient algorithm for finding adequate models is derived; on the practical side, a methodology for building systems that automatically construct adequate models is provided, and implementational aspects and tests are described.
Electronic reproduction.
[Place of publication not identified] :
HathiTrust Digital Library,
2010.
Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002.
http://purl.oclc.org/DLF/benchrepro0212
9783540485209 3540485201
Computer simulation.
Computer Simulation
Simulation par ordinateur.
simulation.
Computer simulation
Physikalisches System
Modellierung
Simulation par ordinateur.
QA76.9.C65 / N39 1995
003/.3
Automated modeling of physical systems / P. Pandurang Nayak. - 1 online resource (xx, 232 pages) : illustrations - Lecture notes in computer science ; Lecture notes in artificial intelligence 1003. . - Lecture notes in computer science ; 1003. Lecture notes in computer science. Lecture notes in artificial intelligence. .
Includes bibliographical references (pages 227-232).
1. Introduction -- 2. Models and model fragments -- 3. Adequate models -- 4. Complexity of model selection -- 5. Causal approximations -- 6. Differential equations -- 7. Order of magnitude reasoning -- 8. Model selection program and results -- 9. Related work -- 10. Conclusions -- A. Examples of causal approximations -- B. Example devices -- C. Composable operators -- D. Matching in bipartite graphs.
Use copy
In this monograph the author investigates the problem of selecting adequate models for reasoning about physical systems and applications to engineering problem solving. An elegant treatment of both the theoretical and practical aspects is presented: the problem is precisely formalized, its computational complexity is analyzed in detail, and an efficient algorithm for finding adequate models is derived; on the practical side, a methodology for building systems that automatically construct adequate models is provided, and implementational aspects and tests are described.
Electronic reproduction.
[Place of publication not identified] :
HathiTrust Digital Library,
2010.
Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002.
http://purl.oclc.org/DLF/benchrepro0212
9783540485209 3540485201
Computer simulation.
Computer Simulation
Simulation par ordinateur.
simulation.
Computer simulation
Physikalisches System
Modellierung
Simulation par ordinateur.
QA76.9.C65 / N39 1995
003/.3