Agent-Based Modeling: Introduction and Perspective
Agent-Based Modeling (ABM) is a cutting-edge technique to understand various social phenomena. ABM is characterized by the points that: (1) computer simulation with software agents, which are equipped with internal states, decision rules, and information exchange mechanisms, (2) micro level interactions of agents, macro level emergent phenomena, and micromacro links among them, and (3) new principles for design and analyses of social complex systems in the real world. However, the importance of the modeling methodology has not been common yet even in the academic societies. The paper discusses the principles, strength, and weakness of ABM. The paper also describes our recent research results. They include such social system task domains as behavioral finance, social interactions among group of people, emergence of money, and history simulation.
Agent-based modeling Agent-based simulation Social system analysis
Takao Terano
Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology, Tokyo,Japan, 226-8502
国际会议
The 8th International Conference on Innovation and Management(第八届创新与管理国际会议 ICIM 2011)
日本福冈
英文
1003-1009
2011-11-30(万方平台首次上网日期,不代表论文的发表时间)