Research On The Building Ontology In MAS And The Model Of Agent Negotiation

Agent, who possesses autonomy, initiative, intelligence, and other remarkable properties, offers a new solution to the traditional business for its difficulties in efficient processing. Meanwhile, the ontology realizes the knowledge sharing and reusing by describing the domain knowledge with normalized language. For the people and heterogeneous systems that require to exchange and share information, the establishment of the domain ontology will help to eliminate the differences on concepts and terms and reach the agreement on the concept understanding within fields. Moreover, the exact description of the terms and relationships between them makes the domain ontology the semantic foundation, based on which a mutual understanding for both people-machine and machine-machine modes becomes a reality. The application of the combination of the ontology and Agent will provide a fresh way to resolve those difficult issues to handle.With the development of internet, it is a natural trend for the auto-calculation to make the declaratory environment open to the public. Thus, the appearance of multi-agent system is inevitable outcome of the historical development. As each agent has its own destination and intention, there is unavoidable existence of the dependence relation and contradictory relation between the agents in such a complex environment, the fair competition and rational allocation of resources can only be realized by resolving the problems between the agents with negotiations. The history indicates that the most effective and direct solution to Agent conflict is to negotiate.The paper first reviews the technological development and the main research contents of Agent and MAS, then introduces the basics knowledge of ontology and negotiation. For a tourist information service system, we build tourism field ontology and design negotiation model by studying negotiation feature. The model of the negotiation used to study the multi-attribute problems, the human factors and balance selection (strategy), and gives decision-making, in order to achieve intelligent services of the travel system.