Modeling human decisions in coupled human and natural systems: Review of agent-based models

被引：560

作者：

An, Li ^{[1
]}

机构：

[1] San Diego State Univ, Dept Geog, San Diego, CA 92182 USA

来源：

ECOLOGICAL MODELLING | 2012年 / 229卷

基金：

美国国家科学基金会;

关键词：

Agent-based modeling; Human decision making; Coupled human and natural systems; Review; LAND-USE CHANGE; YUCATAN PENINSULAR REGION; MULTIAGENT SYSTEMS; RESOURCE-MANAGEMENT; COMPLEXITY SCIENCE; SOUTHERN YUCATAN; ENVIRONMENT INTERACTIONS; SPATIOTEMPORAL DYNAMICS; POPULATION-DYNAMICS; SIMULATION-MODELS;

D O I：

10.1016/j.ecolmodel.2011.07.010

中图分类号：

Q14 [生态学（生物生态学）];

学科分类号：

071012 ; 0713 ;

摘要：

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.

引用

页码：25 / 36

页数：12

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