Hostname: page-component-74656f9884-8rzl6 Total loading time: 0 Render date: 2026-11-06T09:13:58.505Z Has data issue: false hasContentIssue false

Agent-oriented software engineering

Published online by Cambridge University Press:  23 January 2006

CAROLE BERNON
Affiliation:
IRIT—University Paul Sabatier, 118 Route de Narbonne, 31062 Toulouse Cedex 09, France; e-mail: bernon@irit.fr
MASSIMO COSSENTINO
Affiliation:
Istituto di Calcolo e Reti ad Alte Prestazioni—Italian National Research Council, Viale delle Scienze, ed. 11. 90128 Palermo, Italy; e-mail: cossentino@pa.icar.cnr.it
JUAN PAVÓN
Affiliation:
Facultad de Informática, Universidad Complutense Madrid, Ciudad Universitaria s/n, 28040 Madrid, Spain; e-mail: jpavon@sip.ucm.es
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the 'Save PDF' action button.

Considering the great number of agent-oriented methodologies that can be found in the literature, and the fact that each one defines its own concepts and system structure, one of the main challenges in agent-oriented software engineering (AOSE) research is how to make these methodologies interoperable. By defining concepts used in a specific domain in a non-ambiguous way, meta-modelling may represent a step towards such interoperability. Consequently the main objective of the AOSE TFG (Technical Forum Group) is to establish a strategy for identifying a common meta-model that could be widely adopted by the AOSE community. This paper sums up the approach used by this TFG which consists of (i) studying and comparing the meta-models related to some existing methodologies (ADELFE, Gaia, INGENIAS, PASSI, RICA and Tropos) in order to find commonalities and (ii) giving a clear and basic definition for the core concepts used in multi-agent systems for relating and positioning them in a unified MAS meta-model. The first proposal, set up by the working group, for this unified meta-model then concludes this paper.

Information

Type
Research Article
Copyright
2005 Cambridge University Press