卧虎藏龙
发表于 2025-3-25 05:50:38
Some insights into the emergence of agent-based modeling, views about the past, present, and the future. Thus, themes from cellular automata and complexity, cybernetics and chaos, and complex adaptive systems are examined and placed in historical context to better establish the application, capabilities, understanding, and future of ABM.
公司
发表于 2025-3-25 08:24:09
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Nebulizer
发表于 2025-3-25 13:01:46
Frank J. Stech,Kristin E. Heckmanreduce MRSA transmission are embedded in the model including: admission and repeat screening tests, shorter test turnaround time, isolation, and decolonization treatment. These interventions can be systematically evaluated by model experimentation.
Confound
发表于 2025-3-25 19:31:39
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Folklore
发表于 2025-3-25 22:10:40
Cyber Democracy: The Future of Democracy?ntation. These factors make agent-based modeling difficult to include as an incremental add-on to existing simulation courses. This paper’s contribution is to report on some approaches to teaching ABS that the authors have successfully used in a range of classes and workshops.
安心地散步
发表于 2025-3-26 01:49:51
An application of agent-based simulation to the management of hospital-acquired infection,reduce MRSA transmission are embedded in the model including: admission and repeat screening tests, shorter test turnaround time, isolation, and decolonization treatment. These interventions can be systematically evaluated by model experimentation.
倔强不能
发表于 2025-3-26 07:23:50
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LEVER
发表于 2025-3-26 10:02:37
Successful approaches for teaching agent-based simulation,ntation. These factors make agent-based modeling difficult to include as an incremental add-on to existing simulation courses. This paper’s contribution is to report on some approaches to teaching ABS that the authors have successfully used in a range of classes and workshops.
名义上
发表于 2025-3-26 13:04:42
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ANTI
发表于 2025-3-26 19:28:25
https://doi.org/10.1007/978-3-319-74107-9er of agent-based applications across a variety of domains and disciplines. This article provides a brief introduction to ABMS, illustrates the main concepts and foundations, discusses some recent applications across a variety of disciplines, and identifies methods and toolkits for developing agent models.