00789nam0-22002891i-450-99000331329040332120001010000331329FED01000331329(Aleph)000331329FED0100033132920001010d--------km-y0itay50------baitay-------001yy<<The >>DRAMATIC WORKS VOL.1-2-3-4CambridgeCambridge University Press1958710Dekker,Thomas131563ITUNINARICAUNIMARCBK990003313290403321710 DEKLINGUE 034045-034DECLI710 DEK /1LINGUE 034037-0340DECLIDECLIDRAMATIC WORKS VOL.1-2-3-4446742UNINAING0103832nam 22007575 450 99646548130331620200701173154.03-540-48520-110.1007/3-540-60641-6(CKB)1000000000234384(SSID)ssj0000321536(PQKBManifestationID)11241028(PQKBTitleCode)TC0000321536(PQKBWorkID)10279584(PQKB)11419682(DE-He213)978-3-540-48520-9(PPN)155175203(EXLCZ)99100000000023438420121227d1995 u| 0engurnn|008mamaatxtccrAutomated Modeling of Physical Systems[electronic resource] /by P. Pandurang Nayak1st ed. 1995.Berlin, Heidelberg :Springer Berlin Heidelberg :Imprint: Springer,1995.1 online resource (XXII, 238 p.) Lecture Notes in Artificial Intelligence ;1003Bibliographic Level Mode of Issuance: Monograph3-540-60641-6 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.Lecture Notes in Artificial Intelligence ;1003Computer simulationPhysicsArtificial intelligenceComputersComputational complexityElectronicsMicroelectronicsSimulation and Modelinghttps://scigraph.springernature.com/ontologies/product-market-codes/I19000Physics, generalhttps://scigraph.springernature.com/ontologies/product-market-codes/P00002Artificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Computation by Abstract Deviceshttps://scigraph.springernature.com/ontologies/product-market-codes/I16013Complexityhttps://scigraph.springernature.com/ontologies/product-market-codes/T11022Electronics and Microelectronics, Instrumentationhttps://scigraph.springernature.com/ontologies/product-market-codes/T24027Computer simulation.Physics.Artificial intelligence.Computers.Computational complexity.Electronics.Microelectronics.Simulation and Modeling.Physics, general.Artificial Intelligence.Computation by Abstract Devices.Complexity.Electronics and Microelectronics, Instrumentation.003/.3Nayak P. Pandurangauthttp://id.loc.gov/vocabulary/relators/aut746495BOOK996465481303316Automated modeling of physical systems1490084UNISA01014nam0 22003013i 450 RML048741620231121125804.0020507610620220311d1982 ||||0itac50 baengusz01i xxxe z01nPsychological testing and assessmentLewis R. Aiken4. edBostonAllyn and Bacon1982IX, 454 p.ill.24 cm.Test mentaliFIRRMLC050645I150.287PSICOLOGIA. Test e misure21Aiken, Lewis R.UFIV1084630701446817ITIT-0120220311IT-FR0017 Biblioteca umanistica Giorgio ApreaFR0017 NRML0487416Biblioteca umanistica Giorgio Aprea 52MAG 7/1509 52MAG0000187985 VMB RS A 2017062720170627 52Psychological testing and assessment3634284UNICAS