The process of designing an agent-based model of a real system and conducting experiments with this model for the purpose either of understanding the behavior of the system or of evaluating various strategies (within the limits imposed by a criterion or a set of criteria) for the operation of the system.
Published in Chapter:
Using Semantics in the Environment for Multiagent-Based Simulation
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
DOI: 10.4018/978-1-4666-5888-2.ch121
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.