DocumentCode
2750255
Title
Multi-agent system coordination architecture and its use in electric power decision support system
Author
Liu, Lianzhong ; Zu, Xiangrong ; Xu, Ruzhi
Author_Institution
Sch. of Comput. Sci. & Eng., Beijing Univ. of Aeronaut. & Astronaut., Beijing
fYear
2008
fDate
13-16 July 2008
Firstpage
731
Lastpage
736
Abstract
This paper concerns the new development in multi-agent based enterprise software engineering practices, systematically discusses the main issues and approaches towards successful enforcement of complex agent-oriented software engineering, related to multi-agent system (MAS) organization structure design, ontology based domain knowledge representation and put forward an ontology based MAS coordination architecture. This paper mainly focuses on multi-agent approaches to enterprise legacy system evolution, intelligent integration and coordination design, not on specific agent architectures. Organization structure design provide MAS long-term system guidelines, together with the ontology-based domain knowledge structure and relationship representation, that provide the agents structure and environment description for MAS coordination mechanisms, also this paper gives a fundamental ontology-based agent communication interface definition. As a case study, this paper analyses China deregulated power industry information system integration requirements, apply MAS organization design approaches in electric power decision support application system MAS architecture design, and suggests CIM/XML as a standard criteria to ontology-based electric power domain knowledge management for multi-agent resources sharing, reuse and coordination.
Keywords
XML; decision support systems; knowledge representation; multi-agent systems; power systems; software engineering; CIM/XML; China; coordination design; decision support system; domain knowledge representation; electric power system; enterprise legacy system evolution; enterprise software engineering; intelligent integration; multiagent system; ontology-based agent communication; Computer architecture; Decision support systems; Guidelines; Information analysis; Intelligent agent; Intelligent systems; Knowledge representation; Multiagent systems; Ontologies; Software engineering;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Informatics, 2008. INDIN 2008. 6th IEEE International Conference on
Conference_Location
Daejeon
ISSN
1935-4576
Print_ISBN
978-1-4244-2170-1
Electronic_ISBN
1935-4576
Type
conf
DOI
10.1109/INDIN.2008.4618198
Filename
4618198
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