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Towards to an Agent-Oriented Meta-Model for Modeling Vehicular Systems with Multi-Configuration Ability

Authors:
Mohamed Garoui
Belhassen Mazigh
Béchir El Ayeb
Abderrafiaa Koukam

Keywords: Agent technology; Transport domain; Meta-model; multi-agent system

Abstract:
Agent technology is a software paradigm that permits to implement large and complex distributed applications. In order to assist the development of multi-agent systems, agent-oriented methodologies (AOM) have been created in the last years to support modeling more and more complex applications in many different domains. By defining in a non-ambiguous way concepts used in a specific domain, Meta modeling may represent a step towards such interoperability. In the transportation domain, this paper proposes an agent-oriented meta-model that provides rigorous concepts for conducting transportation system problem modeling. The aim is to allow analysts to produce a transportation system model that precisely captures the knowledge of an organization so that an agent-oriented requirements specification of the system-to-be and its operational corporate environment can be derived from it. To this end, we extend and adapt an existing meta-model, Extended Gaia, to build a meta-model and an adequate model for transportation problems. Our new agent-oriented metamodel aims to allow the analyst to model and specify any transportation system as a multi-agent system. In this paper, we aim to propose an Agent-Oriented meta-model adequate to any Transportation Systems with multi-configuration ability problem.

Pages: 209 to 214

Copyright: Copyright (c) IARIA, 2014

Publication date: February 23, 2014

Published in: conference

ISSN: 2308-4243

ISBN: 978-1-61208-319-3

Location: Nice, France

Dates: from February 23, 2014 to February 27, 2014