基于角色模型的多Agent自适应知识供应系统

The Multi-agent Self-adaptive Knowledge Supply System Based on Role Model

通过应用语义Web技术,构造基于本体的可重构企业知识库和知识供应本体环境,解决不同企业知识的异构性问题.以DORL作为Agent应用域本体、角色相关内容的描述语言,以BDI刻画和描述Agent的概念和特征,作为Agent及角色的知识表示和推理能力的模式,应用多Agent系统角色间协作技术,实现企业知识供应系统.并提出了一种基于角色模型的多Agent自适应的应用系统架构.

The author constructs ontology-based reconfigurable enterprise knowledge base and knowledge supply environment by using semantic WEB technologies, in order to solve heterogeneous knowledge issue in different enterprises. DORL is used as the domain ontology of Agent and to describe the role-related content. And BDI is used to describe the concepts and features of Agent in order to serve as the model of Agent and the roles knowledge representation and reasoning ability. The enterprise knowledge supply system can be finally realized by using Agent role collaboration technologies. Moreover, this paper also proposes self-adaptive application system architecture of multi-Agent base on role model.