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 transport domain, this paper propose an agentoriented 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 metamodel, Extended Gaia, to build a meta-model and an adequate model for transportation problems. Our new agent-oriented meta-model aims to allow the analyst to model and specify any transportation system as a multi-agent system.
CITATION STYLE
Garoui, M., Mazigh, B., El Ayeb, B., & Koukam, A. (2014). Agent-oriented meta-model for modeling and specifying transportation systems: Platoon of vehicles. Studies in Computational Intelligence, 551, 305–314. https://doi.org/10.1007/978-3-319-05503-9_30
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