LEADER 04229nam 2200721 450 001 9910822206003321 005 20200520144314.0 010 $a0-691-09665-1 010 $a1-4008-5062-2 024 7 $a10.1515/9781400850624 035 $a(CKB)2550000001163389 035 $a(EBL)1520764 035 $a(OCoLC)863672379 035 $a(SSID)ssj0001062262 035 $a(PQKBManifestationID)11606429 035 $a(PQKBTitleCode)TC0001062262 035 $a(PQKBWorkID)11007658 035 $a(PQKB)11687308 035 $a(OCoLC)864139703 035 $a(MdBmJHUP)muse43441 035 $a(DE-B1597)453651 035 $a(OCoLC)979579488 035 $a(DE-B1597)9781400850624 035 $a(Au-PeEL)EBL1520764 035 $a(CaPaEBR)ebr10805908 035 $a(CaONFJC)MIL545525 035 $a(MiAaPQ)EBC1520764 035 $a(EXLCZ)992550000001163389 100 $a20040923h20052005 uy| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aIndividual-based modeling and ecology /$fVolker Grimm, Steven F. Railsback 205 $aCourse Book 210 1$aPrinceton :$cPrinceton University Press,$d[2005] 210 4$dİ2005 215 $a1 online resource (445 p.) 225 0 $aPrinceton Series in Theoretical and Computational Biology ;$v8 225 0$aPrinceton series in theoretical and computational biology 300 $aDescription based upon print version of record. 311 $a0-691-09666-X 311 $a1-306-14274-1 320 $aIncludes bibliographical references (pages [395]-420) and index. 327 $aIntroduction -- A primer to modeling -- Pattern-oriented modeling -- Theory in individual-based ecology -- A conceptual framework for designing individual-based models -- Examples -- Formulating individual-based models -- Software for individual-based models -- Analyzing individual-based models -- Communicating individual-based models and research -- Using analytical models in individual-based ecology. 330 $aIndividual-based models are an exciting and widely used new tool for ecology. These computational models allow scientists to explore the mechanisms through which population and ecosystem ecology arises from how individuals interact with each other and their environment. This book provides the first in-depth treatment of individual-based modeling and its use to develop theoretical understanding of how ecological systems work, an approach the authors call "individual-based ecology.? Grimm and Railsback start with a general primer on modeling: how to design models that are as simple as possible while still allowing specific problems to be solved, and how to move efficiently through a cycle of pattern-oriented model design, implementation, and analysis. Next, they address the problems of theory and conceptual framework for individual-based ecology: What is "theory"? That is, how do we develop reusable models of how system dynamics arise from characteristics of individuals? What conceptual framework do we use when the classical differential equation framework no longer applies? An extensive review illustrates the ecological problems that have been addressed with individual-based models. The authors then identify how the mechanics of building and using individual-based models differ from those of traditional science, and provide guidance on formulating, programming, and analyzing models. This book will be helpful to ecologists interested in modeling, and to other scientists interested in agent-based modeling. 410 0$aPrinceton series in theoretical and computational biology. 606 $aPopulation biology$xMathematical models 606 $aBiotic communities$xMathematical models 615 0$aPopulation biology$xMathematical models. 615 0$aBiotic communities$xMathematical models. 676 $a577/.01/5118 686 $aWC 7000$2rvk 700 $aGrimm$b Volker$f1958-$0508439 701 $aRailsback$b Steven F$0476995 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910822206003321 996 $aIndividual-based modeling and ecology$9777312 997 $aUNINA