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100   $a20141008d2014      u|         0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aModeling and Simulation of Complex Systems $eA Framework for Efficient Agent-Based Modeling and Simulation /$fby Robert Siegfried
205   $a1st ed. 2014.
210  1$aWiesbaden :$cSpringer Fachmedien Wiesbaden :$cImprint: Springer Vieweg,$d2014.
215   $a1 online resource (233 p.)
300   $aDescription based upon print version of record.
311   $a3-658-07528-7 
320   $aIncludes bibliographical references.
327   $aIntroduction -- Preliminaries and related work: Agent-based modeling and simulation, Parallel and distributed multi-agent simulation, Summary -- E?ective and e?cient model development: The need for a reference model for agent-based modeling and simulation, GRAMS ? General Reference Model for Agent-based Modeling and Simulation, Summary -- E?ective model execution: Model partitioning and multi-level parallelization, Example implementation of GRAMS, Summary -- Conclusions.
330   $aRobert Siegfried presents a framework for efficient agent-based modeling and simulation of complex systems. He compares different approaches for describing structure and dynamics of agent-based models in detail. Based on this evaluation the author introduces the ?General Reference Model for Agent-based Modeling and Simulation? (GRAMS). Furthermore he presents parallel and distributed simulation approaches for execution of agent-based models ? from small scale to very large scale. The author shows how agent-based models may be executed by different simulation engines that utilize underlying hardware resources in an optimized fashion.  Contents Basics of agent-based modeling and simulation Parallel and distributed multi-agent simulation General Reference Model for Agent-Based Modeling and Simulation Model partitioning and multi-level parallelization Example implementation and benchmarks  Target Groups Scientists and students in the field of modeling and simulation Practitioners in modeling and simulation  About the Author Robert Siegfried is Senior Consultant for IT/M&S projects. He earned his doctorate in modeling and simulation at the Universität der Bundeswehr München. His research areas are agent-based modeling and simulation, distributed simulation, and quality management. He has worked on topics like model documentation and management, distributed simulation test beds, and process models. He is active member of the NATO Modeling and Simulation Group and the Simulation Interoperability Standards Organization.
606   $aArtificial intelligence
606   $aSoftware engineering
606   $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000
606   $aSoftware Engineering/Programming and Operating Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/I14002
615  0$aArtificial intelligence.
615  0$aSoftware engineering.
615 14$aArtificial Intelligence.
615 24$aSoftware Engineering/Programming and Operating Systems.
676   $a004
676   $a005.1
676   $a006
700   $aSiegfried$b Robert$4aut$4http://id.loc.gov/vocabulary/relators/aut$0904548
906   $aBOOK
912   $a9910298981803321
996   $aModeling and Simulation of Complex Systems$92022597
997   $aUNINA