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Titlebook: Modeling and Simulation of Complex Systems; A Framework for Effi Robert Siegfried Book 2014 Springer Fachmedien Wiesbaden 2014 GRAMS.agent-

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發(fā)表于 2025-3-21 17:54:41 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Modeling and Simulation of Complex Systems
副標題A Framework for Effi
編輯Robert Siegfried
視頻videohttp://file.papertrans.cn/637/636176/636176.mp4
概述Publication in the field of technical sciences.Includes supplementary material:
圖書封面Titlebook: Modeling and Simulation of Complex Systems; A Framework for Effi Robert Siegfried Book 2014 Springer Fachmedien Wiesbaden 2014 GRAMS.agent-
描述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.
出版日期Book 2014
關鍵詞GRAMS; agent-based model; multi-agent simulation; multi-level parallelization; simulation of complex sys
版次1
doihttps://doi.org/10.1007/978-3-658-07529-3
isbn_softcover978-3-658-07528-6
isbn_ebook978-3-658-07529-3
copyrightSpringer Fachmedien Wiesbaden 2014
The information of publication is updating

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https://doi.org/10.1007/978-3-658-07529-3GRAMS; agent-based model; multi-agent simulation; multi-level parallelization; simulation of complex sys
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Book 2014sed 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.
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Book 2014ibing 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
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