Automated Modeling of Physical Systems [electronic resource] / by P. Pandurang Nayak.

By: Pandurang Nayak, P [author.]Contributor(s): SpringerLink (Online service)Material type: TextTextLanguage: English Series: Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence: 1003Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 1995Description: XXII, 238 p. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783540485209Subject(s): Computer science | Artificial intelligence | Computer simulation | Electronics | Computer Science | Artificial Intelligence (incl. Robotics) | Simulation and Modeling | Computation by Abstract Devices | Systems and Information Theory in Engineering | Electronics and Microelectronics, Instrumentation | Control EngineeringAdditional physical formats: Printed edition:: No titleDDC classification: 006.3 LOC classification: Q334-342TJ210.2-211.495Online resources: Click here to access online
Contents:
Models and model fragments -- Adequate models -- Complexity of model selection -- Causal approximations -- Differential equations -- Order of magnitude reasoning -- Model selection program and results -- Related work -- Conclusions.
In: Springer eBooksSummary: This book is based on the author's PhD thesis which was selected during the 1993 ACM Doctoral Dissertation Competition as one of the three best submissions. This monograph 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 sides are 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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Models and model fragments -- Adequate models -- Complexity of model selection -- Causal approximations -- Differential equations -- Order of magnitude reasoning -- Model selection program and results -- Related work -- Conclusions.

This book is based on the author's PhD thesis which was selected during the 1993 ACM Doctoral Dissertation Competition as one of the three best submissions. This monograph 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 sides are 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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