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Using Semantics in the Environment for Multiagent-Based Simulation

Using Semantics in the Environment for Multiagent-Based Simulation
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Author(s): Florian Béhé (Checksem Group, LE2I, Université de Bourgogne, France & Multiagent Group, IRTES-SET, UTBM, France), Christophe Nicolle (University of Burgundy, France), Stéphane Galland (Multiagent Group, IRTES-SET, UTBM, France), Nicolas Gaud (Multiagent Group, IRTES-SET, UTBM, France) and Abderrafiaa Koukam (Multiagent Group, IRTES-SET, UTBM, France)
Copyright: 2015
Pages: 9
Source title: Encyclopedia of Information Science and Technology, Third Edition
Source Author(s)/Editor(s): Mehdi Khosrow-Pour, D.B.A. (Information Resources Management Association, USA)
DOI: 10.4018/978-1-4666-5888-2.ch121

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Abstract

In this chapter, we carry out an overview and analysis of the usage of semantics to enhance environments in the domain of multiagent-based simulations. Firstly, we take a look at what a multiagent system (MAS) is, and after that we look at the environment for these systems, and why semantics are required in it. Various propositions to put semantics in the environment for MAS are then reviewed, as well as the strengths and weaknesses for these approaches. These propositions are grouped together under two categories, regarding whether the proposed approach is based on only the environment or on both the agents and the environment. The paper is then concluded with findings that have emerged by analyzing the various proposed approaches.

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