Modelling individual behaviour and group performance in an intelligent agent-based simulation of the tragedy of the commons
Modelling individual behaviour and group performance in an intelligent agent-based simulation of the tragedy of the commons
复制标题
在基于智能代理的公地悲剧模拟中对个人行为和群体表现进行建模
DOI：
10.1006/jema.1999.0272
复制
发表时间：
1999
影响因子：
8.7
通讯作者：
P. Deadman
中科院分区：
文献类型：
--
作者：
P. Deadman
这项工作介绍并说明了智能代理为基础的建模和仿真的潜力，作为一种工具，了解个人的行动和集体的表现在共同池资源困境。一个模型的开发，基于以前记录的公共池资源实验，并使用群多智能体仿真环境进行模拟。这些模型中的代理被设计成代表实验中各个占用者的行为和公共池资源本身。为这些模拟开发的智能代理具有自适应能力。他们在可供选择的策略中选择在当前条件下表现最好的策略。这个模型的模拟呈现观察到的一些潜在的个人行动和集体绩效之间的关系，在共同池资源的实验情况。特别是，自适应代理生成组级行为与实际实验中的组具有相似的性能特征。一些潜在的未来研究方向，并在自然资源管理中可能的应用进行了讨论。
This work introduces and illustrates the potential of intelligent agent-based modelling and simulation as a tool for understanding individual action and group performance in common-pool resource dilemmas. A model was developed, based on previously documented common-pool resource experiments, and simulated using the Swarm multi-agent simulation environment. Agents in these models were designed to represent the actions of the individual appropriators in the experiments and the common-pool resource itself. The intelligent agents developed for these simulations possess adaptive capabilities. They select amongst alternative strategies the one that appears to yield the best performance under current conditions. Simulations of this model rendered observations of some potential relationships between individual action and group performance in common-pool resource experimental situations. In particular, adaptive agents generated group level behaviour with similar performance characteristics to groups in actual experiments. Some potential future directions for this research, and possible applications in natural resources management, are discussed.