A preliminary comparative feature analysis of multi-agent systems development methodologies

Tran, QNN; Low, G; Williams, MA

A preliminary comparative feature analysis of multi-agent systems development methodologies

Tran, QNN Low, G Williams, MA

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Publication Type:: Conference Proceeding
Citation:: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2005, 3508 LNAI pp. 157 - 168
Issue Date:: 2005-12-01

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Field	Value	Language
dc.contributor.author	Tran, QNN	en_US
dc.contributor.author	Low, G	en_US
dc.contributor.author	Williams, MA https://orcid.org/0000-0002-1047-0503	en_US
dc.date.issued	2005-12-01	en_US
dc.identifier.citation	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2005, 3508 LNAI pp. 157 - 168	en_US
dc.identifier.isbn	3540259112	en_US
dc.identifier.isbn	9783540259114	en_US
dc.identifier.issn	0302-9743	en_US
dc.identifier.uri	http://hdl.handle.net/10453/5045
dc.description.abstract	While there are a considerable number of software engineering methodologies for developing multi-agent systems, not much work has been reported on the evaluation and comparison of these methodologies. This paper presents a comparative analysis of five well-known MAS-development methodologies. The comparison is based on a feature analysis framework published previously. This framework allows the comparative analysis to be made on a variety of evaluation criteria, covering both agent-oriented aspects and system engineering dimensions. The analysis also compares the methodologies in terms of their support for the steps in the development process and for agent-oriented concept modeling. © Springer-Verlag Berlin Heidelberg 2005.	en_US
dc.relation.ispartof	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)	en_US
dc.subject.classification	Artificial Intelligence & Image Processing	en_US
dc.title	A preliminary comparative feature analysis of multi-agent systems development methodologies	en_US
dc.type	Conference Proceeding
utslib.citation.volume	3508 LNAI	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
dc.location.activity	Riga, Latvia	en_US
dc.location.activity	Melbourne, Victoria
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	closed_access
pubs.publication-status	Published	en_US
pubs.volume	3508 LNAI	en_US

Abstract:

While there are a considerable number of software engineering methodologies for developing multi-agent systems, not much work has been reported on the evaluation and comparison of these methodologies. This paper presents a comparative analysis of five well-known MAS-development methodologies. The comparison is based on a feature analysis framework published previously. This framework allows the comparative analysis to be made on a variety of evaluation criteria, covering both agent-oriented aspects and system engineering dimensions. The analysis also compares the methodologies in terms of their support for the steps in the development process and for agent-oriented concept modeling. © Springer-Verlag Berlin Heidelberg 2005.

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http://hdl.handle.net/10453/5045