A Feature Analysis Framework for Evaluating Multi-Agent System Development Methodologies

Tran, Q; Low, GC; Williams, M

A Feature Analysis Framework for Evaluating Multi-Agent System Development Methodologies

Tran, Q Low, GC Williams, M

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Publisher:: Springer-Verlag Berlin Heidelberg
Publication Type:: Conference Proceeding
Citation:: Foundations of Intelligent Systems. 14th International Symposium, ISMIS 2003 Proceedings, 2003, pp. 1 - 5
Issue Date:: 2003-01

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Field	Value	Language
dc.contributor.author	Tran, Q	en_US
dc.contributor.author	Low, GC	en_US
dc.contributor.author	Williams, M https://orcid.org/0000-0002-1047-0503	en_US
dc.contributor.editor	Zhong, N	en_US
dc.contributor.editor	Ras, ZW	en_US
dc.contributor.editor	Tsumoto, S	en_US
dc.contributor.editor	Suzuki, E	en_US
dc.date	2003-10-28	en_US
dc.date.issued	2003-01	en_US
dc.identifier.citation	Foundations of Intelligent Systems. 14th International Symposium, ISMIS 2003 Proceedings, 2003, pp. 1 - 5	en_US
dc.identifier.issn	0302-9743	en_US
dc.identifier.uri	http://hdl.handle.net/10453/1878
dc.description.abstract	This paper proposes a comprehensive and multi-dimensional feature analysis framework for evaluating and comparing methodologies for developing multi-agent systems (MAS). Developed from a synthesis of various existing evaluation frameworks, the novelty of our framework lies in the high degree of its completeness and the relevance of its evaluation criteria. The paper also presents a pioneering effort in identifying the standard steps and concepts to be supported by a MAS-development process and models.	en_US
dc.publisher	Springer-Verlag Berlin Heidelberg	en_US
dc.relation	http://purl.org/au-research/grants/arc/DP0209539
dc.relation.ispartof	Foundations of Intelligent Systems. 14th International Symposium, ISMIS 2003 Proceedings	en_US
dc.relation.ispartof	International Symposium on Foundations of Intelligent Systems	en_US
dc.relation.isbasedon	10.1007/978-3-540-39592-8_87	en_US
dc.rights	This is a post-peer-review, pre-copyedit version of an article published in International Symposium on Foundations of Intelligent Systems. The final authenticated version is available online at: https://dx.doi.org/10.1007/978-3-540-39592-8_87.	en_US
dc.rights	This is a post-peer-review, pre-copyedit version of an article published in Foundations of Intelligent Systems. 14th International Symposium, ISMIS 2003 Proceedings. The final authenticated version is available online at: https://dx.doi.org/10.1007/978-3-540-39592-8_87.	en_US
dc.subject.classification	Artificial Intelligence & Image Processing	en_US
dc.title	A Feature Analysis Framework for Evaluating Multi-Agent System Development Methodologies	en_US
dc.type	Conference Proceeding
utslib.location	Germany	en_US
utslib.location.activity	Maebashi City, Japan	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
dc.location.activity	Maebashi City, Japan	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
utslib.copyright.status	open_access
pubs.consider-herdc	true	en_US
pubs.place-of-publication	Germany	en_US
pubs.start-date	2003-10-28	en_US

Abstract:

This paper proposes a comprehensive and multi-dimensional feature analysis framework for evaluating and comparing methodologies for developing multi-agent systems (MAS). Developed from a synthesis of various existing evaluation frameworks, the novelty of our framework lies in the high degree of its completeness and the relevance of its evaluation criteria. The paper also presents a pioneering effort in identifying the standard steps and concepts to be supported by a MAS-development process and models.

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http://hdl.handle.net/10453/1878