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Automated modeling of physical systems / P. Pandurang Nayak.

By: Material type: TextTextSeries: Lecture notes in computer science ; 1003. | Lecture notes in computer science. Lecture notes in artificial intelligence.Publisher: Berlin ; New York : Springer, ©1995Description: 1 online resource (xx, 232 pages) : illustrationsContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783540485209
  • 3540485201
Subject(s): Additional physical formats: Print version:: Automated modeling of physical systems.DDC classification:
  • 003/.3 20
LOC classification:
  • QA76.9.C65 N39 1995
Other classification:
  • 54.72
Online resources:
Contents:
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.
Action note:
  • digitized 2010 HathiTrust Digital Library committed to preserve
Summary: 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.
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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.

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.

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