Title :
Modeling, extraction and reuse of organizational knowledge
Author_Institution :
Fac. of Eng., Saitama Univ., Urawa, Japan
Abstract :
Argues that multi-agent system design can be formalized by borrowing from artificial intelligence and software engineering concepts and techniques, such as ontologies, organization, decomposition and synthesis. We particularly focus on ontology sharing of software agents, define agencies as organizations of agents, propose a method to conceptualize the ontology of the domain using a multi-layered bipartite graph called a symbol structure (SS), and propose a method to extract organizational information from the SS of interacting agents. This information is then used in multi-agent system design and development
Keywords :
graphs; knowledge acquisition; multi-agent systems; software agents; software engineering; agencies; agent organizations; artificial intelligence; decomposition; domain ontology conceptualization; interacting agents; multi-agent system design; multi-layered bipartite graph; ontology sharing; organizational knowledge extraction; organizational knowledge modelling; organizational knowledge reuse; software agents; software engineering; symbol structure; synthesis; Artificial intelligence; Computer networks; Data mining; Expert systems; Message passing; Multiagent systems; Next generation networking; Ontologies; Software agents; Software engineering;
Conference_Titel :
Systems, Man, and Cybernetics, 2000 IEEE International Conference on
Conference_Location :
Nashville, TN
Print_ISBN :
0-7803-6583-6
DOI :
10.1109/ICSMC.2000.886420