Maxime Morge's Publications
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Argumentation sur les motivations propres dans l'architecture V3A pour des agents auto-adaptatifs
Maxime Morge, Kostas Stathis, and Laurent Vercouter. Argumentation sur les motivations propres dans l'architecture V3A pour des agents auto-adaptatifs. In Actes des 16�me Journ�es Francophones sur les Syst�mes Multi-Agents (JFSMA), pp. 110, Cepudes, 2008.
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Abstract
Inspired by the Vowels approach, the Vowel Agent Argumentation Architecture (V3A) is a model by means of which an autonomous agent argues with itself to manage its motivations. It arbitrates its possible internal conflicts with the help of its personnality which dictates its behaviour. In order to show how this model can be used to design self-adative agents, we propose an argumentation technique which specifies the internal dialectical process as a dialogue game amongst internal components which can dynamically join/leave the game. Our framework is exemplified with a scenario, whereby the components are automatically downloaded.
BibTeX
@InProceedings{morge08jfsma,
author = {Maxime Morge and Kostas Stathis and Laurent Vercouter},
title = {Argumentation sur les motivations propres dans
l'architecture V3A pour des agents auto-adaptatifs},
booktitle = {Actes des 16ème Journées Francophones sur les Systèmes Multi-Agents (JFSMA)},
pages = {110},
year = {2008},
publisher = {Cepudes},
abstract= {Inspired by the Vowels approach, the Vowel Agent
Argumentation Architecture (V3A) is a model by means of
which an autonomous agent argues with itself to manage
its motivations. It arbitrates its possible internal
conflicts with the help of its personnality which
dictates its behaviour. In order to show how this model
can be used to design self-adative agents, we propose an
argumentation technique which specifies the internal
dialectical process as a dialogue game amongst internal
components which can dynamically join/leave the game. Our
framework is exemplified with a scenario, whereby the
components are automatically downloaded.},
bib2html_pubtype = {French Conference},
bib2html_rescat = {MAS, Argumentation, Agent architecture},
bib2html_funding = {ArgUGRID}
}
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