A multidimensional environment implementation for enhancing agent interaction. Galland, S., Balbo, F., Gaud, N., Rodriguez, S., Picard, G., & Boissier, O. In Bordini, R. & Elkind, E., editors, 14th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS15), pages 1801–1802, Istanbul, Turkey, May, 2015. ACM In-Cooperation.
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Paper abstract bibtex
Paper abstract bibtex The environment, as a space shared between agents, is a key component of multiagent systems (MAS). Depending on systems, this space may integrate physical, communication or social dimensions. Each of them has its own process and rules to support agents' interaction. For instance, in the physical dimension, the rules may be based on the agents' location. The agents' interaction is then contextualized and the environment allows a multiagent control since it performs the interactions according to the state and rules of the MAS. The dimensions of the environment are generally connected either in an application dependent adhoc way outside of the agents or within each agent. In order to ensure a multiagent control, the relations between dimensions must be explicit outside of the agents. Using these relations between the environment dimensions, the interaction becomes also multi-dimensional. In this paper we propose to formalize rules and mechanisms to make this connection outside of the agents and in a generic way.
@inproceedings{bordini_multidimensional_2015,
address = {Istanbul, Turkey},
title = {A multidimensional environment implementation for enhancing agent interaction},
copyright = {All rights reserved},
isbn = {978-1-4503-3413-6},
url = {http://www.sebastianrodriguez.com.ar/files/Galland_et_al_2015_A_multidimensional_environment_implementation_for_enhancing_agent_interaction.pdf},
abstract = {The environment, as a space shared between agents, is a key component of multiagent systems (MAS). Depending on systems, this space may integrate physical, communication or social dimensions. Each of them has its own process and rules to support agents' interaction. For instance, in the physical dimension, the rules may be based on the agents' location. The agents' interaction is then contextualized and the environment allows a multiagent control since it performs the interactions according to the state and rules of the MAS. The dimensions of the environment are generally connected either in an application dependent adhoc way outside of the agents or within each agent. In order to ensure a multiagent control, the relations between dimensions must be explicit outside of the agents. Using these relations between the environment dimensions, the interaction becomes also multi-dimensional. In this paper we propose to formalize rules and mechanisms to make this connection outside of the agents and in a generic way.},
language = {english},
booktitle = {14th {Int}. {Conf}. on {Autonomous} {Agents} and {Multiagent} {Systems} ({AAMAS15})},
publisher = {ACM In-Cooperation},
author = {Galland, Stéphane and Balbo, Flavien and Gaud, Nicolas and Rodriguez, Sebastian and Picard, Gauthier and Boissier, Olivier},
editor = {Bordini, Rafael and Elkind, Edith},
month = may,
year = {2015},
keywords = {Agent Based Simulation, Complex Systems, SARL, Simulation techniques, tools and environments},
pages = {1801--1802},
}Downloads: 0
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