Modeling and Simulation of Complex Systems [electronic resource] : A Framework for Efficient Agent-Based Modeling and Simulation /
Siegfried, Robert.author.
Robert 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.
Description based upon print version of record.
Includes bibliographical references.
Introduction -- 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.
Robert 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.
Artificial intelligence.
Software engineering.
Artificial Intelligence.
Software Engineering/Programming and Operating Systems.