Agent-Based Modeling and Complexity
Agent-Based Modeling and Complexity
复制标题
基于代理的建模和复杂性
DOI：
10.1007/978-90-481-8927-4_7
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发表时间：
2012
期刊：
影响因子：
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通讯作者：
Dudley B. Bonsal
中科院分区：
文献类型：
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作者：
S. Manson;Shipeng Sun;Dudley B. Bonsal
复杂性理论为将基于代理的流程应用于一系列复杂系统提供了通用语言和规则。基于代理的建模反过来又通过驱动许多复杂系统特征（例如自组织、非线性、敏感性和弹性）来推进复杂性科学。复杂性和基于代理的建模之间有很多联系点，我们研究了几个特别重要的点：复杂性方法的范围；理论与实证研究之间的紧张关系；校准、验证和确认；规模;平衡与变化；和决策。这些问题一起或单独构成了复杂性研究和基于代理的建模接口中发现的一些关键问题。
Complexity theory provides a common language and rubric for applying agent-based processes to a range of complex systems. Agent-based modeling in turn advances complexity science by actuating many complex system characteristics, such as self-organization, nonlinearity, sensitivity, and resilience. There are many points of contact between complexity and agent-based modeling, and we examine several of particular importance: the range of complexity approaches; tensions between theoretical and empirical research; calibration, verification, and validation; scale; equilibrium and change; and decision making. These issues, together and separately, comprise some of the key issues found at the interface of complexity research and agent-based modeling.
DOI：
10.3768/rtipress.2009.mr.0010.0905
发表时间：
2009-05-01
期刊：
Methods report (RTI Press)
影响因子：
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作者：
Wheaton WD;Cajka JC;Chasteen BM;Wagener DK;Cooley PC;Ganapathi L;Roberts DJ;Allpress JL
通讯作者：
Allpress JL