摘要
理性Agent规约的形式框架通常基于信念、愿望和意图逻辑.为了克服现有的信念、愿望和意图逻辑中存在的问题,为非正规模态算子提供一种合适的语义表示.讨论了理性Agent性态的抽象规约中对语义表示的要求以及现有的信念、愿望和意图逻辑中存在的问题.介绍了作者开发的真假子集语义及其在Agent形式化中的应用.他们的框架使意图的有问题的性质无效.并且证明通过对模型的代数结构施加一定的约束,能获得许多希望的性质.最后对真假子集语义进行了分析.这一切表明真假子集语义为非正规模态算子提供了一种合适的语义表示,是对经典的正规模态算子可能世界语义的一个重要发展,是理性Agent性态的逻辑规约的有力工具,可应用于建立新的合适的Agent逻辑系统.
Formal frameworks for the specification of rational agents are commonly based on logic of belief, desire and intention. In order to eliminate the problems with existing logic of belief, desire and intention, and to provide a proper semantic representation for non-normal modal operator, the problems with existing logic of belief, desire and intention are addressed, the true-false subset semantics, which is developed by the authors, and its application in the formalization of agent are introduced. The proposed framework invalidates the problematic properties of intention, and by imposing certain constraints on the algebraic structure of the models, it is showed that many desirable properties can be obtained. Finally the true-false subset semantics is analyzed. Thus the true-false subset semantics provides a proper semantic representation for non-normal modal operator. It is an important development of classical possible worlds semantics for normal modal operators, and is proved to be a powerful tool for the logical specification of rational agent behavior. It can be applied to establish a new proper agent logic system.
出处
《软件学报》
EI
CSCD
北大核心
2002年第11期2112-2115,共4页
Journal of Software
基金
国家自然科学基金资助项目(69973023)
福建省自然科学基金资助项目(F00012
F00013)~~
关键词
AGENT
逻辑
真假子集语义
人工智能
Algebra
Constraint theory
Formal logic
Mathematical models
Mathematical operators
Modal analysis
Multi agent systems
Semantics
Specifications
