Font Size: a A A

Information Modeling In Managing And Controling Social Behavior Of Agents

Posted on:2005-02-17Degree:MasterType:Thesis
Country:ChinaCandidate:Y WuFull Text:PDF
GTID:2168360122967582Subject:Computer applications
Abstract/Summary:PDF Full Text Request
With the rapidly development of Internet and communication technologies ,Web has become virtual environment where people deal with social activities. Nowadays, how to develop Web-based social intelligence is an important way to implement new- generation high-powered Web.The uprising of semantic Web technologies eliminate obstacle for Agents understanding information content and realizing semantic interoperation.The potential for using the traditional technology of software Agents to exploit the Web-based social intelligence is obstructed, because this technology is only suited to closed and small systems, and no strong infrastructure is provided to support the management and control of social behavior of Agents.We suggest to study the infrastructure of Agents' social behaviors. We proposes an infrastructure for managing and controlling social behavior of Agents, which aims at adopting the policy-driven institution with the form of social-sector/federation as main line, and from five dimensions: explicitness of semantics for information content, systematization of mediate service for Agents, rationality of negotiation process for Agents, legality of behavior standard for Agents, and individualization for adjusting Agent service, providing Agents with open, multi-dimensional, systematic, secure, and easy-to-transparently-adjust environment for social activities, in order to support the efficient development of social intelligence of Agents.At first, this paper gives a brief instruction of the IMCSBA arcitechture . Then focus on one field of the five-explicitness of semantics for information content. I gives the method and implementation through two ways : study the representation method for semantics for information content, set up an information modeling structure based on ontology. Our goal is to provide Agents with explicit semantics to exchange information and support users easily dispatch tasks and manage or control the process. Finally, a demo is given to show: according to the representation method we provide, define ontology and Agent model to support managing and controlling social behavior of Agents in IMCSBA . This sample certifies the abilities and effects of our IMCSBA system .
Keywords/Search Tags:Web Service, MultiAgent System, semantic interoperation, Ontology, XML
PDF Full Text Request
Related items