Maxime Morge's Publications
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Mod�le d'argumentation pour le raisonnement pratique
Maxime Morge and Paolo Mancarella. Mod�le d'argumentation pour le raisonnement pratique. In Proc. of the Journ�es Francophones Planification, D�cision, Apprentissage pourla conduite de syst�mes, pp. 123–134, 2007.
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Abstract
We present here a Decision Support System (DSS) with the help of a usecase for selecting a business location. This computer system is built upon a concrete argumentation framework for practical reasoning. A logic language is used as a concrete data structure for holding the statements like knowledge, goals, and actions. Different priorities are attached to these items corresponding to the likelihood of the knowledge, the preferences between goals, and the credibility of alternative actions. These concrete data structures consist of information providing the backbone of arguments. Due to the abductive nature of decision making, we built arguments by reasoning backwards. Moreover, arguments are defined as tree-like structures. In this way, our DSS evaluates the possible actions, suggests some solutions, and provides an interactive and intelligible explanation of the choice made
BibTeX
@InProceedings{morge07jfpda,
author = {Maxime Morge and Paolo Mancarella},
title = {Modèle d'argumentation pour le raisonnement pratique},
booktitle = {Proc. of the Journées Francophones Planification, Décision, Apprentissage pour
la conduite de systèmes},
pages = {123-134},
year = {2007},
abstract= {We present here a Decision Support System (DSS) with the
help of a usecase for selecting a business
location. This computer system is built upon a concrete
argumentation framework for practical reasoning. A
logic language is used as a concrete data structure for
holding the statements like knowledge, goals, and
actions. Different priorities are attached to these items
corresponding to the likelihood of the knowledge, the
preferences between goals, and the credibility of
alternative actions. These concrete data structures
consist of information providing the backbone of
arguments. Due to the abductive nature of decision
making, we built arguments by reasoning
backwards. Moreover, arguments are defined as tree-like
structures. In this way, our DSS evaluates the possible
actions, suggests some solutions, and provides an
interactive and intelligible explanation of the choice
made},
bib2html_pubtype = {Workshop},
bib2html_rescat = {Argumentation, Decision support system},
bib2html_funding = {ArguGRID}
}
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