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Automated Modeling of Physical Systems / by P. Pandurang Nayak
(Lecture Notes in Artificial Intelligence. ISSN:29459141 ; 1003)
版 | 1st ed. 1995. |
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出版者 | Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer |
出版年 | 1995 |
本文言語 | 英語 |
大きさ | XXII, 238 p : online resource |
著者標目 | *Nayak, P. Pandurang author SpringerLink (Online service) |
件 名 | LCSH:Computer simulation LCSH:Physics LCSH:Astronomy LCSH:Artificial intelligence LCSH:Computer science LCSH:Dynamics LCSH:Nonlinear theories LCSH:Electronics FREE:Computer Modelling FREE:Physics and Astronomy FREE:Artificial Intelligence FREE:Theory of Computation FREE:Applied Dynamical Systems FREE:Electronics and Microelectronics, Instrumentation |
一般注記 | 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 HTTP:URL=https://doi.org/10.1007/3-540-60641-6 |
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電子ブック | オンライン | 電子ブック |
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Springer eBooks | 9783540485209 |
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EB00225677 |
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データ種別 | 電子ブック |
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分 類 | LCC:QA76.9.C65 DC23:003.3 |
書誌ID | 4001090451 |
ISBN | 9783540485209 |