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Bilateral negotiation of a meeting point in a maze
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Document type :
Communication dans un congrès avec actes
Title :
Bilateral negotiation of a meeting point in a maze
Author(s) :
MORGE, Maxime [Auteur] refId
Dipartimento di Informatica [Pisa] [DI]
Dipartimento di Informatica [Pisa]
Systèmes Multi-Agents et Comportements [SMAC]
Laboratoire d'Informatique Fondamentale de Lille [LIFL]
Routier, Jean-Christophe [Auteur] refId
Systèmes Multi-Agents et Comportements [SMAC]
Laboratoire d'Informatique Fondamentale de Lille [LIFL]
Delecroix, Fabien [Auteur]
Systèmes Multi-Agents et Comportements [SMAC]
Laboratoire d'Informatique Fondamentale de Lille [LIFL]
Conference title :
International Conference on Practical Applications of Agents and Multi-Agent Systems (PAAMS)
Conference organizers(s) :
Yves Demazeau and Franco Zambonelli and Juan M. Corchado and Javier Bajo
City :
Salamanca
Country :
Espagne
Start date of the conference :
2014-06-04
Publisher :
Springer
Publication date :
2014
English keyword(s) :
Multiagent systems
Negotiation
HAL domain(s) :
Informatique [cs]/Intelligence artificielle [cs.AI]
English abstract : [en]
Negotiation between agents aims at reaching an agreement in which the conflicting interests of agents are accommodated. In this paper, we present a concrete negotiation scenario where two agents are situated in a maze and ...
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Negotiation between agents aims at reaching an agreement in which the conflicting interests of agents are accommodated. In this paper, we present a concrete negotiation scenario where two agents are situated in a maze and the negotiation outcome is a cell where they will meet. Based on their individual preferences (a minimal distance from their location computed from their partial knowledge of the environment), we propose a negotiation protocol which allows agents to submit more than two proposals at the same time and a conciliatory strategy. Formally, we prove that the agreement reached by such a negotiation process is Pareto- optimal and a compromise, i.e. a solution which minimizes the maximum effort for one agent. Moreover, the path between the two agents emerges from the repeated negotiations in our experiments.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Collections :
  • Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189
Source :
Harvested from HAL
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