A Negotiation Learning Model for Open Multi-Agent Environments
p. 121-130
Résumé
The paper presents a model of heuristic negotiation between self-interested agents which allows the use of arguments, negotiation over multiple issues of the negotiation object, single and multi-party negotiation, and learning of the agent's negotiation primitives. The model uses negotiation objects and negotiation frames to separate the object of negotiation from the negotiation process. In order to negotiate strategically, the agents use a reinforcement learning algorithm applied on a specific state space representation of the negotiation process.
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Référence papier
Adina Magda Florea et Eugenia Kalisz, « A Negotiation Learning Model for Open Multi-Agent Environments », CASYS, 20 | 2008, 121-130.
Référence électronique
Adina Magda Florea et Eugenia Kalisz, « A Negotiation Learning Model for Open Multi-Agent Environments », CASYS [En ligne], 20 | 2008, mis en ligne le 03 September 2024, consulté le 20 September 2024. URL : http://popups.lib.uliege.be/1373-5411/index.php?id=2839
Auteurs
Adina Magda Florea
Department of Computer Science, University "Politehnica" of Bucharest, Spl.Independentei 313, Bucharest, Romania
Eugenia Kalisz
Department of Computer Science, University "Politehnica" of Bucharest, Spl.Independentei 313, Bucharest, Romania