A Virtual Selling Agent which is Persuasive and Adaptive

Fabien Delecroix, Maxime Morge (maxime.morge@univ-lille.fr) and Jean-Christophe Routier (jean-christophe.routier@univ-lille.fr)
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Fabien Delecroix: LIFL - Laboratoire d'Informatique Fondamentale de Lille - Université de Lille, Sciences et Technologies - Inria - Institut National de Recherche en Informatique et en Automatique - Université de Lille, Sciences Humaines et Sociales - CNRS - Centre National de la Recherche Scientifique, SMAC - Systèmes Multi-Agents et Comportements - CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 - Centrale Lille - Université de Lille - CNRS - Centre National de la Recherche Scientifique
Maxime Morge: LIFL - Laboratoire d'Informatique Fondamentale de Lille - Université de Lille, Sciences et Technologies - Inria - Institut National de Recherche en Informatique et en Automatique - Université de Lille, Sciences Humaines et Sociales - CNRS - Centre National de la Recherche Scientifique, SMAC - Systèmes Multi-Agents et Comportements - CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 - Centrale Lille - Université de Lille - CNRS - Centre National de la Recherche Scientifique, Dipartimento di Informatica [Pisa] - UniPi - University of Pisa [Italy] = Università di Pisa [Italia] = Université de Pise [Italie], DI - Dipartimento di Informatica [Pisa] - UniPi - University of Pisa [Italy] = Università di Pisa [Italia] = Université de Pise [Italie]
Jean-Christophe Routier: LIFL - Laboratoire d'Informatique Fondamentale de Lille - Université de Lille, Sciences et Technologies - Inria - Institut National de Recherche en Informatique et en Automatique - Université de Lille, Sciences Humaines et Sociales - CNRS - Centre National de la Recherche Scientifique, SMAC - Systèmes Multi-Agents et Comportements - CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 - Centrale Lille - Université de Lille - CNRS - Centre National de la Recherche Scientifique

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Abstract: We propose an argumentation-based agent model that supports service and partner selection in service-oriented computing settings. In this model, argumentation is also used to help agents resolve conflicts between themselves, whenever is required for the provision of services. The model relies upon an argumentation framework that is used in a modular architecture where Knowledge, Goals, Decisions and Priorities are manipulated by three specialized modules dealing with decision making, communication and negotiation. We formulate a distributed e-procurement process to illustrate how our agents select services and partners and can negotiate with one another.

Date: 2013
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Published in Agreement Technologies, Springer, pp.625-645, 2013

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-00826437

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