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
Link To Document :
بازگشت