The OSOAD Methodology for Open Complex Agent Systems

Cao, L; Zhang, C; Dai, R

The OSOAD Methodology for Open Complex Agent Systems

Cao, L

Zhang, C

Dai, R

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Publisher:: World Scientific Publishing
Publication Type:: Journal Article
Citation:: International Journal of Intelligent Control and Systems, 2005, 1, 10 (4), pp. 277 - 285
Issue Date:: 2005-01

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Field	Value	Language
dc.contributor.author	Cao, L https://orcid.org/0000-0003-1562-9429	en_US
dc.contributor.author	Zhang, C https://orcid.org/0000-0001-5715-7154	en_US
dc.contributor.author	Dai, R	en_US
dc.date.issued	2005-01	en_US
dc.identifier.citation	International Journal of Intelligent Control and Systems, 2005, 1, 10 (4), pp. 277 - 285	en_US
dc.identifier.issn	0218-7965	en_US
dc.identifier.uri	http://hdl.handle.net/10453/8981
dc.description.abstract	Open complex agent systems (OCAS) are middle-size or large-scale open agent organization. To engineer OCAS, agentcentric organization-oriented analysis, design and implementation, namely organization-oriented methodology (OOM), has emerged as a highly promising direction. A number of OOM-related approaches have been proposed; while there are some intrinsic issues hidden in them. For instance, some fundamental system attributes, such as system dynamics, are not covered by almost all of the existing approaches. In this paper, we summarize our investigation of existing approaches, and report a new OOM approach called OSOAD. The OSOAD approach consists of organizational abstraction (OA), organization-oriented analysis (OOA), agent service-oriented design (ASOD), and Java agent service -based implementation. OSOAD provides complete and deployable mechanisms for all software engineering phases. Specifically, we notice the transition supports from OA to OOA and ASOD. This approach has been built and deployed with the practical development of agent service -based financial trading and mining applications.	en_US
dc.publisher	World Scientific Publishing	en_US
dc.relation.ispartof	International Journal of Intelligent Control and Systems	en_US
dc.title	The OSOAD Methodology for Open Complex Agent Systems	en_US
dc.type	Journal Article
utslib.citation.volume	4	en_US
utslib.citation.volume	10	en_US
utslib.for	080704 Information Retrieval and Web Search	en_US
utslib.for	080604 Database Management	en_US
utslib.citation.edition	1	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/DVC (International)
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - AAI - Advanced Analytics Institute Research Centre
pubs.organisational-group	/University of Technology Sydney/Strength - ACRI - Australia China Relations Institute
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
utslib.copyright.status	open_access
pubs.consider-herdc	false	en_US
pubs.edition	1	en_US
pubs.issue	4	en_US
pubs.volume	10	en_US

Abstract:

Open complex agent systems (OCAS) are middle-size or large-scale open agent organization. To engineer OCAS, agentcentric organization-oriented analysis, design and implementation, namely organization-oriented methodology (OOM), has emerged as a highly promising direction. A number of OOM-related approaches have been proposed; while there are some intrinsic issues hidden in them. For instance, some fundamental system attributes, such as system dynamics, are not covered by almost all of the existing approaches. In this paper, we summarize our investigation of existing approaches, and report a new OOM approach called OSOAD. The OSOAD approach consists of organizational abstraction (OA), organization-oriented analysis (OOA), agent service-oriented design (ASOD), and Java agent service -based implementation. OSOAD provides complete and deployable mechanisms for all software engineering phases. Specifically, we notice the transition supports from OA to OOA and ASOD. This approach has been built and deployed with the practical development of agent service -based financial trading and mining applications.

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http://hdl.handle.net/10453/8981