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Evaluation of Environment Contextual Services in Multiagent Systems

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Balbo2013.pdf (636.4Kb)
Date
2011
Dewey
Programmation, logiciels, organisation des données
Sujet
Environment; Evaluation; Communication; Activation
DOI
http://dx.doi.org/10.1007/978-3-642-29966-7_13
Conference name
3rd International Conference on Agents and Artificial Intelligence (ICAART 2011)
Conference date
01-2011
Conference city
Rome
Conference country
Italy
Book title
Agents and Artificial Intelligence
Author
Filipe, Joaquim; Fred, Ana
Publisher
Springer
Pages number
444
ISBN
978-3-642-29966-7
Book URL
10.1007/978-3-642-29966-7
URI
https://basepub.dauphine.fr/handle/123456789/20925
Collections
  • LAMSADE : Publications
Metadata
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Author
Balbo, Flavien
989 Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Saunier, Julien
Badeig, Fabien
989 Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Type
Communication / Conférence
Item number of pages
192-207
Abstract (EN)
The environment is a powerful first-order abstraction in Multi-Agent Systems (MAS), as well as a critical building block. The agents interact in their environment and the effects of their actions are observed and evaluated through this environment. The local complexity of the agents depends on its management of the interaction and action processes. If the environment carries out a part of this processes, the complexity of the agents is reduced. This delegating process implies a centralization of a part of the MAS computations inside the environment and therefore a flexible way to exchange information and to coordinate the agents.In this paper, we present the modeling of an environment which supports both communication services and simulation services: multi-party communications (communication) and contextual activation (simulation). We evaluate the cost of these environment services and compare it to the execution of the same tasks inside the agents. The evaluation and comparison are done theoretically and empirically for communication and simulation. We also investigate the clustering of the agents in several environments.

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