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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