03135cam a22002895a 4500001001400000003000400014005001700018008004100035020001800076040002600094082001900120100003000139245013300169260007700302300003600379504003300415505048800448520155500936650003502491650003902526650003902565653002602604773002002630776003602650999001702686952014202703ssj0001372372OSt20160907130830.0141008s2014    gw a   frb    000 0 eng d  a9783658075286  dWaSeSSdEG-ScBUEbeng04a003.3222bSIE1 aSiegfried, Robert.94105610aModeling and simulation of complex systems :ba framework for efficient agent-based modeling and simulation /cRobert Siegfried.  a[Wiesbaden] :bSpringer Fachmedien Wiesbaden :bSpringer Vieweg :c2014.  axviii, 227 p. :bill. ;c24 cm.  aBibliography : p. [207]-227.0 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.  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. 7aComputer science.2BUEsh93608 7aSoftware engineering.2BUEsh93832 0aElectronic data processing.2BUEsh  bCOMSCIcSeptember20160 tSpringer eBooks08iPrinted edition:z9783658075286  c22323d22295  00102ddc40708BaccahaMAINbMAINcLOWd2016-09-07ePurchaseg785.00h2000088l0o003.3 SIEp000033567r2025-07-15 00:00:00v981.25yBB