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Thèse
Présentée pour l’obtention du titre de
DOCTEUR DE L’UNIVERSITÉ PARIS-EST
Spécialité: Informatiques
par Arash Bahrammirzaee
Contribution à l’Etude et à la Conception d’Agents Virtuels
Intelligents: Application à la Simulation de Stratégies de
Séquences de Négociation
Soutenue publiquement le 14 Dec 2010 devant la commission d‘examen composée de
Prof. Hichem MAAREF Rapporteur / University Evry-Val d‘Essonne
Prof. Vladimir GOLOVKO Raur / Brest State Technical University
Prof. Gilles BERNARD Examinateur / Université Paris 8
Dr. Amine CHOHRA Examinateur / University PARIS-EST Créteil
Prof. Kurosh MADANI Directeur de thèse / University PARIS-EST Créteil
tel-00587434, version 1 - 20 Apr 2011
Thesis
Presented to obtain the title of
DOCTOR OF PARIS-EST UNIVERSITY
Specialization: Computer Sciences
by Arash Bahrammirzaee
Contribution in Design and Implementation of Virtual
Intelligent Agents: Application in Simulation of Negotiation
Process Strategies
Defended on 14 Dec 2010 in presence of commission composed by
Prof. Hichem MAAREF Reviewer / University Evry-Val d‘Essonne
Prof. Vladimir GOLOVKO Reviewer / Brest State Technical University
Prof. Gilles BERNARD Examiner / Université Paris 8
Dr. Amine CHOHRA Examiner / University PARIS-EST Créteil
Prof. Kurosh MADANI Superviser sity PARIS-réteil
tel-00587434, version 1 - 20 Apr 2011Abstract
In this thesis, besides the developing a bilateral automated negotiation model between agents, in incomplete
information state, integrating the personality effects of human on the negotiation process and outcomes, we
proposed an architecture of such agents (―buyer‖ or ―seller‖). To do so, a new offer generation approach of three
adaptive families of tactics has been proposed as follows: the time dependent tactics (time supposed as
continuous), behavior dependent tactics, and time independent tactics.
This thesis takes into consideration also the personality effects (of negotiator agent) on negotiation process and
outcome. In fact, with regard to ―Big five‖ personality model and introducing the cognitive orientations, we have
developed a negotiator agent‘s architecture based on personality. This architecture is, mainly, inspired from the
game theory. In fact, the artificial agent‘s cognition in terms of negotiation is considered as a certain
negotiator‘s mental orientation favorising the concession of the negotiator agent towards one of following three
equilibria (based on game theory): Win-Lose, Lose-Win, and Win-Win According to the privileged orientation
and the personality of negotiator, such a negotiator agent decides the adequate combination of tactics (models,
etc) in order to modulate, consequently, the expected outcomes of negotiation.
Keywords: Artificial intelligence, Agent based automated negotiation, Negotiation strategy, Personality factors,
and Cognitive orientations.
Résumé
Dans cette thèse, conjointement au développement d‘un modèle de négociation bilatérale automatisée entre
agents, dans un contexte à informations incomplètes, intégrant les effets de la personnalité du comportement
humain sur le processus et sur les résultats de la négociation, nous proposons une architecture de tels agents
(″vendeur ″ ou ″acheteur″). Pour cela, une nouvelle approche de génération d‘offres a été présentée en proposant
notamment trois familles de tactiques adaptatives (par rapport aux intervalles de réservation et aux dates limites),
à savoir : les tactiques dépendantes du temps (supposé continu), les tactiques dépendantes du comportement et
les tactiques indépendantes du temps.
Cette thèse s‘intéresse aussi à la prise en considération des effets de la personnalité (de l‘agent négociateur)
sur les issues de la négociation. En fait, en recourant à modèle appelé ‗‗cinq grands facteurs de la personnalité‘‘
et en introduisant des orientations cognitives, nous avons développé une architecture d‘agent négociant basé sur
la personnalité. Notre architecture s‘inspire principalement de la théorie des jeux. En effet, la connaissance de
l‘agent artificiel en termes de la négociation est considérée comme une certaine orientation mentale du
négociateur favorisant les concessions de ce dernier vers l‘un des trois équilibres (au sens de la théorie des jeux)
suivants : Gagnant-Perdant, Perdant-Gagnant, ou Gagnant-Gagnant. Selon l‘orientation privilégiée et la
personnalité du négociateur, un tel agent négociateur décide de la combinaison adéquate des tactiques (modèles
etc.) afin de moduler, en conséquence, les issues escomptées de la négociation.
Mots Clés: Intelligence artificielle, négociation automatisée entre agents, stratégie de négociation, facteurs de
personnalité, orientations cognitives.
tel-00587434, version 1 - 20 Apr 2011Acknowledgement
After three degrees, at three universities, in three different disciplines, I have learned one thing: I could
never have done any of this, particularly the research and writing that went into this dissertation,
without the support and encouragement of a lot of people.
In the first place I would like to record my gratitude to Prof. Kurosh Madani for his supervision,
advice, and guidance from the very early stage of this research as well as giving me extraordinary
experiences throughout the work. His truly scientist intuition has made him as a constant oasis of ideas
and passions in science, which exceptionally inspire and enrich my growth as a student, a researcher
and a scientist want to be.
I gratefully acknowledge Dr. Amine Chohra for his advice, and contribution. He has supported me
throughout my thesis with his patience and knowledge. I am also deeply grateful to him for his
invaluable effort in reviewing and editing this thesis.
I would like to express the deepest appreciation to my thesis committee members: Prof. Gilles Bernard,
Prof. Vladimir Golovko, and Prof. Hichem Maaref for the useful comments, suggestions, and
additional work.
I am grateful to the faculty members of l‘IUT de Sénart including Dr. Amarger Veronique, Dr.
Sabourin Christophe, and especially, Dr. Naser Chebria for their assistance and support.
I would like, also, to thank my friends and fellow doctoral students of LISSI including Dr. Ivan
Budnyk, Dr. Kanaoui Nadia, Dr. Bouyoucef El Khier Sofiane, Dr. Thiaw Lamine, Dr. Mustefa Sene,
Dr. Voiry Matthieu, Kanzari Dalel, Yu Weiwei, Wang Ting, and particularly Dominik Maximilian
Ramik. I‘ve been fortunate to have a great group of friends at LISSI laboratory.
Finally, I would like to dedicate this work to my family: Sattar, Farideh, Sheno, and Mobin. Without
your unending support and love from childhood to now, I never would have made it through this
process or any of the tough times in my life. Thank you.
tel-00587434, version 1 - 20 Apr 2011
To my family:
Sattar, Farideh, Sheno, and Mobin
tel-00587434, version 1 - 20 Apr 2011
Table of contents
List of figures ............................................................................................................................................. ix
List of symbols ........... xi
Chapter 1. General Introduction ........... 1
1.1 Motivations and objectives ......................................................................................................................2
1.2 Contribution .............................................4
1.3 Thesis organization ...................................................................................................5
Chapter 2. Negotiation, agents, and automated negotiation .............................. 9
2.1 Introduction ..............................................................................................................................................9
2.2 Negotiation: definitions and concepts .....9
2.2.1 Negotiation definitions and skills .................................................................................................. 10
2.2.2 Negotiation process ....................................................... 14
2.2.3 Negotiation space .......................................................................................... 18
2.2.4 Negotiation Strategy ...................... 20
2.3 Agents: definitions