LEADER 03832nam 22007575 450 001 996465481303316 005 20200701173154.0 010 $a3-540-48520-1 024 7 $a10.1007/3-540-60641-6 035 $a(CKB)1000000000234384 035 $a(SSID)ssj0000321536 035 $a(PQKBManifestationID)11241028 035 $a(PQKBTitleCode)TC0000321536 035 $a(PQKBWorkID)10279584 035 $a(PQKB)11419682 035 $a(DE-He213)978-3-540-48520-9 035 $a(PPN)155175203 035 $a(EXLCZ)991000000000234384 100 $a20121227d1995 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aAutomated Modeling of Physical Systems$b[electronic resource] /$fby P. Pandurang Nayak 205 $a1st ed. 1995. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d1995. 215 $a1 online resource (XXII, 238 p.) 225 1 $aLecture Notes in Artificial Intelligence ;$v1003 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-540-60641-6 327 $aModels 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. 330 $aThis book is based on the author's PhD thesis which was selected during the 1993 ACM Doctoral Dissertation Competition as one of the three best submissions. This monograph investigates the problem of selecting adequate models for reasoning about physical systems and applications to engineering problem solving. An elegant treatment of both the theoretical and practical sides are presented: the problem is precisely formalized, its computational complexity is analyzed in detail, and an efficient algorithm for finding adequate models is derived; on the practical side, a methodology for building systems that automatically construct adequate models is provided, and implementational aspects and tests are described. 410 0$aLecture Notes in Artificial Intelligence ;$v1003 606 $aComputer simulation 606 $aPhysics 606 $aArtificial intelligence 606 $aComputers 606 $aComputational complexity 606 $aElectronics 606 $aMicroelectronics 606 $aSimulation and Modeling$3https://scigraph.springernature.com/ontologies/product-market-codes/I19000 606 $aPhysics, general$3https://scigraph.springernature.com/ontologies/product-market-codes/P00002 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aComputation by Abstract Devices$3https://scigraph.springernature.com/ontologies/product-market-codes/I16013 606 $aComplexity$3https://scigraph.springernature.com/ontologies/product-market-codes/T11022 606 $aElectronics and Microelectronics, Instrumentation$3https://scigraph.springernature.com/ontologies/product-market-codes/T24027 615 0$aComputer simulation. 615 0$aPhysics. 615 0$aArtificial intelligence. 615 0$aComputers. 615 0$aComputational complexity. 615 0$aElectronics. 615 0$aMicroelectronics. 615 14$aSimulation and Modeling. 615 24$aPhysics, general. 615 24$aArtificial Intelligence. 615 24$aComputation by Abstract Devices. 615 24$aComplexity. 615 24$aElectronics and Microelectronics, Instrumentation. 676 $a003/.3 700 $aNayak$b P. Pandurang$4aut$4http://id.loc.gov/vocabulary/relators/aut$0746495 906 $aBOOK 912 $a996465481303316 996 $aAutomated modeling of physical systems$91490084 997 $aUNISA