多Agent信念修正研究  

The Research of Multi-agent Belief Revision

作　　者：孙召春[1] 高阳[1] 贾松茂[1] 陈世福[1] 

机构地区：[1]南京大学计算机软件新技术国家重点实验室,南京210093

出　　处：《计算机科学》2003年第6期105-107,共3页Computer Science

基　　金：国家自然科学基金资助(编号:60103012)

摘　　要：Belief Revision is a theory that studies how to integrate new information into original belief set. Classical BR theory uses AGM frame, but it only resolves problems in single agent BR system. Multi-agent BR faces problems such as the collision of many information sources and how to maximize the logic consistence of multi-agent system. On the basis of game theory model, we form profit matrix under different BR strategies in multi-agent system and try to get the best strategy that satisfies logic consistence of the system through negotiation.Belief Revision is a theory that studies how to integrate new information into original belief set. Classical BR theory uses AGM frame, but it only resolves problems in single agent BR system. Multi-agent BR faces problems such as the collision of many information sources and how to maximize the logic consistence of multi-agent system. On the basis of game theory model, we form profit matrix under different BR strategies in multi-agent system and try to get the best strategy that satisfies logic consistence of the system through negotiation.

关 键 词：知识库系统 多AGENT系统 信念修正 人工智能 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]