Modeling human decisions in coupled human and natural systems: Review of agent-based models
Modeling human decisions in coupled human and natural systems: Review of agent-based models
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DOI：
10.1016/j.ecolmodel.2011.07.010
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发表时间：
2012-03-24
影响因子：
3.1
通讯作者：
An, Li
中科院分区：
文献类型：
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作者：
An, Li
人与自然耦合系统（CHANS）表现出异质性、非线性、反馈性和涌现性等复杂性。人类在影响这些系统和产生各种环境后果方面发挥着关键作用，而这些后果又可能影响未来的人类决策和行为。根据复杂性理论及其在CHANS中的应用，本文回顾了基于Agent的CHANS动态模拟中的各种决策模型，讨论了它们的优缺点。本文的结论是倡导开发更多基于流程的决策模型以及协议或架构，以促进在各种CHNS中更好地建模人类决策。(C)2011 Elsevier B.V.保留所有权利。
Coupled human and natural systems (CHANS) manifest various complexities such as heterogeneity, non-linearity, feedback, and emergence. Humans play a critical role in affecting such systems and in giving rise to various environmental consequences, which may in turn affect future human decisions and behavior. In light of complexity theory and its application in CHANS, this paper reviews various decision models used in agent based simulations of CHANS dynamics, discussing their strengths and weaknesses. This paper concludes by advocating development of more process-based decision models as well as protocols or architectures that facilitate better modeling of human decisions in various CHANS. (C) 2011 Elsevier B.V. All rights reserved.