Research On Autonomic Multi-agent Service Cooperation System Based On Norm And Policy

Agile enterprise will achieve its goal with the help of virtual organization. Companying with the widely supporting from IT, SOA has became the main implementation for virtual organization. This thesis reviewed the domain technologies for building of virtual organization, and then analyzed the main problems about building high performance virtual organization: 1)how to balance the global goal of virtual organization with the private goal of individual, so as to guarantee the global goal together with the private autonomous space of individual, to solve"trustable crisis"problem; 2)how to build autonomic computing system with self-management ability to solve the problem of management complexity problemAiming at the above problems, this paper proposed a model of autonomic multi-agent service cooperation system based on norm and policy, to solve the"trustable crisis"problem and management complexity problem, and then to implement high performance virtual organization. The major work and contributions are as follows:First, we propose an agent mental state model-NPCD-Agent extended by motivation. This model considers all of the motivation ingredients which are necessary in our system, and divide it into four parts: social behavior norm obligation, policy obligation, contract norm obligation and internal desire. Through the new semantic interpretation of motivation operator and conflict solving model of motivation, the goal generated arithmetic is improved. The analysis of demonstration shows that NPCD-Agent model makes the decision making process of agent more rational.Second, we propose a logic framework for multi-agent system based on norm and policy. The model is formalized by expressing it as a theory in a quantified first order multi-modal logic. This theory model describes the process of multi-agent cooperation, from its beginning, with the entire agent recognizing the potential for cooperation with respect to one of its goal, through to team execution. The analysis of demonstration shows that the theory model can describe the whole process of multi-agent cooperation, and solve the believable crisis problem in theory.Third, we propose an implemented framework of multi-agent system based on norm and policy. The implemented framework is divided into four parts: macro regulation layer, micro behavior layer, macro-micro connection layer and resource layer. In macro regulation layer, we define electronic institution of domain and social behavior norm of it to regulate the behavior of agent; in micro behavior layer, we implement policy driven autonomic agent model to map macro regulation into micro behavior; macro-micro connection is used for connecting the above two layers. In this multi-agent system, social behavior norm can be implemented and then the problem of trustable crisis is solved.Last, we propose an automatic service composition based on collaboration network and compatible scene. This approach makes use of the collaboration network and compatible scene through three steps to automate composition of web services. It first builds a complete-collaboration-network for each output that a user asks for; then it combine the complete-collaboration-network of every output into the composed service; after that it calculates integrative compatible scene similarity degree for selecting the final composed service which is returned to the user. The characteristics of this method include a smaller search space, good efficiency and high ratio of hit. It can support the user's requirement with not only single target but also multiple targets. A set of experiments show that this approach has a good performance and can serve users well even that the service registration repository has a large number of registered services.