Using Semantics in the Environment for Multiagent-Based Simulation

Author:

Béhé Florian1,Nicolle Christophe2,Galland Stéphane3,Gaud Nicolas3,Koukam Abderrafiaa3

Affiliation:

1. Checksem Group, LE2I, Université de Bourgogne, France & Multiagent Group, IRTES-SET, UTBM, France

2. University of Burgundy, France

3. Multiagent Group, IRTES-SET, UTBM, France

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.

Publisher

IGI Global

Reference30 articles.

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2. Barthès, J. (1989). MOSS: a multi-user object environment. 2nd Symposium on AI. Monterrey, Mexico.

3. OMAS—a flexible multi-agent environment for CSCWD

4. An ontology-based metamodel for multiagent-based simulations

5. Béhé, F., Nicolle, C., Galland, S., & Koukam, A. (2011). Semantic Management of Intelligent Multi-Agents Systems in a 3D Environment. In Knowledge Engineering and Ontology Development.

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