期刊文献+

基于Markov链的ERIM系统智能体协作研究

Study of Agent Coordination of ERIM Based on Markov Chains
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摘要 从系统角度出发在对ERIM(企业风险集成管理)系统各要素进行扼要分析的基础上,引入人工智能(Agent)理论将系统的各个要素看作是许多依据状态进行分类的不同的单一Agent的集合,给出了三种这些Agent之间的协作方式;运用Markov链来描述这些单一Agent之间的动态变迁的协作机制,依据Bayes法则确定转移概率,由此可为ERIM的多智能体系统提供一个形式化的数学框架和处理工具。 On the basis of analysis of every ERIM's key elements from systematic angel,it is introduced Agent theory to look upon elements as set of single Agents which are classified on their condition.Moreover three coordination means are given and Markov Chains are utilized to depict this dynamic transition of coordination mechanism between these Agents.At last,transition probability are fixed with Bayes theory.On basis of this,a formalization mathematics frame and handle means are supplied for ERIM multitude Agent system.
出处 《计算机工程与应用》 CSCD 北大核心 2004年第33期37-39,共3页 Computer Engineering and Applications
基金 国家社会科学基金项目(编号:03CJY004) 西北工业大学博士论文创新基金项目(编号:CX200425)
关键词 Bayes理论 马尔可夫链 企业风险集成管理 MARKOV链 ERIM系统 人工智能 Bayes theory,Markov chain,enterprise risk inergrated management
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参考文献12

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