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020 _a9783658075293
_9978-3-658-07529-3
024 7 _a10.1007/978-3-658-07529-3
_2doi
050 4 _aQA75.5-76.95
072 7 _aUMA
_2bicssc
072 7 _aCOM014000
_2bisacsh
072 7 _aCOM018000
_2bisacsh
082 0 4 _a006
_223
100 1 _aSiegfried, Robert.
_eauthor.
245 1 0 _aModeling and Simulation of Complex Systems
_h[electronic resource] :
_bA Framework for Efficient Agent-Based Modeling and Simulation /
_cby Robert Siegfried.
264 1 _aWiesbaden :
_bSpringer Fachmedien Wiesbaden :
_bImprint: Springer Vieweg,
_c2014.
300 _aXIX, 227 p. 40 illus., 13 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aIntroduction -- Preliminaries and related work: Agent-based modeling and simulation, Parallel and distributed multi-agent simulation, Summary -- Effective and efficient 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 -- Effective model execution: Model partitioning and multi-level parallelization, Example implementation of GRAMS, Summary -- Conclusions.
520 _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 Universit�at der Bundeswehr M�unchen. 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.
650 0 _aComputer science.
650 0 _aSoftware engineering.
650 0 _aComputers.
650 1 4 _aComputer Science.
650 2 4 _aComputing Methodologies.
650 2 4 _aSoftware Engineering/Programming and Operating Systems.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783658075286
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-658-07529-3
912 _aZDB-2-SCS
942 _cEBK
999 _c54320
_d54320