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» The Benefits of Opponent Models in Negotiation
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IAT
2009
IEEE
14 years 2 months ago
The Benefits of Opponent Models in Negotiation
Information about the opponent is essential to improve automated negotiation strategies for bilateral multiissue negotiation. In this paper we propose a negotiation strategy that e...
Koen V. Hindriks, Catholijn M. Jonker, Dmytro Tykh...
ATAL
2009
Springer
14 years 5 months ago
Facing the challenge of human-agent negotiations via effective general opponent modeling
Automated negotiation agents capable of negotiating efficiently with people must deal with the fact that people are diverse in their behavior and each individual might negotiate ...
Yinon Oshrat, Raz Lin, Sarit Kraus
ESWA
2008
169views more  ESWA 2008»
13 years 10 months ago
Predicting opponent's moves in electronic negotiations using neural networks
Electronic negotiation experiments provide a rich source of information about relationships between the negotiators, their individual actions, and the negotiation dynami...
Réal Carbonneau, Gregory E. Kersten, Rustam...
ITS
2000
Springer
140views Multimedia» more  ITS 2000»
14 years 2 months ago
Multi-agent Negotiation to Support an Economy for Online Help and Tutoring
We are designing a computational architecture for a "learning economy" based on personal software agents who represent users in a virtual society and assist them in find...
Chhaya Mudgal, Julita Vassileva
ESAW
2004
Springer
14 years 4 months ago
Motivation-Based Selection of Negotiation Opponents
Abstract. If we are to enable agents to handle increasingly greater levels of complexity, it is necessary to equip them with mechanisms that support greater degrees of autonomy. Th...
Stephen J. Munroe, Michael Luck