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Title:
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A GENERIC PLATFORM FOR A MULTI-AGENT SYSTEMS SIMULATION |
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Author(s):
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R. El Bejjet, H. Medromi |
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ISBN:
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978-972-8939-23-6 |
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Editors:
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António Palma dos Reis and Ajith P. Abraham |
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Year:
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2010 |
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Edition:
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Single |
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Keywords:
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Multi agents systems, simulation, distributed intelligent platform, integration architecture. |
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Type:
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Short Paper |
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First Page:
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134 |
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Last Page:
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138 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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The main goal in this project is to define and implement an evolutionary and generic platform for multi agents systems (MAS) simulation by an agent-based approach. This paper describes an architecture conceived and developed in this area. Its principle consists of dividing and modelling a multi agent system to as many agents as necessary, an organisation and an environment. A designer or a programmer builds its application by making a choice of the necessary agents, by coding their processing around a processing model and by associating them around integration architecture, and then by coding non generic agents. This on agent based approach, conceived around a core to which we can add and develop thematic software layers, enhance the modularity and the genericity of developments allowing their reuse in future developments. This characteristic distinguishes our platform from other existing environments for being not only independent from any other particular multi-agents model but it offers a generic models library as well. |
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