摘要
将复杂适应系统的主体适应机制引入元胞自动机的网格动力学模型,以基于复杂适应系统的多主体联动博弈行为为研究对象,将预测行为、自动修正能力赋予元胞主体,创新地提出了一种解决多方协同博弈的方法,通过构建博弈规则模型和状态转移方程不断修正局部均衡从而达到具有协同机制的全局均衡,并通过基于SW ARM构架的仿真为进一步探究复杂系统内群体的行为决策和演化机制提供了模拟平台。模型分析有效地获取和计量系统中主体的行为由于适应性而具备的涌现机制。
The adaptive mechanism for agents of Complex Adaptive System （CAS） are introduced to the gridding dynamics model for Cellular Automata. The multi-agents were endowed with forecasting and self-correcting capability, and the consecutive game behavior of them was regarded as the research object. An innovative method of Syn-game for multi-agents was proposed. The entire equilibrium can be achieved through game rules and state transfer equation in this method by agents. And that the behavior decision and evolvement mechanism in CAS were simulated on SWARM. It is significant for further study in inner agents function in the complex system. The emergence mechanism for the adaptability of agents＇ behavior can be obtained and calculated efficiently.
出处
《系统工程》
CSCD
北大核心
2008年第7期65-68,共4页
Systems Engineering
关键词
主体
协同博弈
复杂适应系统
Agent
Syn-game
Complex Adaptive System （CAS）
