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Information Modeling in Managing and Controling Social Behavior of Agents

Author: WuZuo
Tutor: GaoJi
School: Zhejiang University
Course: Computer Applications
Keywords: Weh Service Multi-Agent Systems Semantic Interoperability Ontology XML
CLC: TP393.09
Type: Master's thesis
Year: 2004
Downloads: 92
Quote: 2
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Abstract


As the Web has become the virtual place for human beings to engage in social activities - Web-based social network, how to develop a Web-based social intelligence is becoming an important way to achieve a new generation of high-performance Web. The rise of the Semantic Web technologies for Agents understand the information content and achieve semantic interoperability cleared the way to open up the opportunity for large-scale applications on the Web, and then to the heterogeneity Agents. Traditional software Agent technology in the Web application potential seriously hampered, because the technology is only applicable in closed small-scale systems, did not provide a strong infrastructure to support for Agent social behavior of the management and control (the text referred to as the pipe control), not adapt to the participation by a large number of heterogeneous Agents, Agent society faces an open, dynamic changes, and the computing environment is full of uncertainties. We propose the development of the infrastructure control Agents social behavior (IMCSBA, Infrastructre for the Managing and the Controling Social Behavior of Agents), aimed at policy-oriented community / federal-Agent social system main line from five dimensions: content semantics clear and systematic Agent ancillary services Agent negotiation process of rational Agents Code of Conduct the legalization and Agent service control transparency, a systematic study of the the generalization environment control Agents social behavior theory and methodology to the Agents open type, multi-faceted, systematic, safe, and easy social activities transparent regulation environment to support the efficient development of intelligent Agent social. This paper first introduces system architecture IMCSBA. Next. The the Agent information content focuses on semantic clarity dimensional. The establishment and implementation mechanism of the application domain ontology research-oriented Web services, Agents need to share information semantically clear definition and description of the means. Oriented information content through two aspects: a clear representation of the information content semantics, semantic modeling framework, so that the exchange of information between the Agents has clear semantics, building control Agent the overall framework of the social behavior of other four-dimensional co- foundation. Finally, we provide an integrated development environment, through a practical example of demo users follow the information content of the IMCSBA the language definition shared ontology Agent model to be tested on the basis of clear information content, the overall structure of IMCSBA Agent social behavior the ability to control and effect, verify support from IMCSBA Agent social intelligence environment.

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