TY - GEN
T1 - Facing the challenge of human-agent negotiations via effective general opponent modeling
AU - Oshrat, Yinon
AU - Lin, Raz
AU - Kraus, Sarit
PY - 2009
Y1 - 2009
N2 - 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 in a different manner. Thus, automated agents must rely on a good opponent modeling component to model their counterpart and adapt their behavior to their partner. In this paper we present the KBAgent. The KBAgent is an automated negotiator that negotiates with each person only once, and uses past negotiation sessions of others as a knowledge base for general opponent modeling. The database is used to extract the likelihood of acceptance and proposals that may be offered by the opposite side. Experiments conducted with people show that the KBAgent negotiates efficiently with people and even achieves better utility values than another automated negotiator, shown to be efficient in negotiations with people. Moreover, the KBAgent achieves significantly better agreements, in terms of individual utility, than the human counterparts playing the same role.
AB - 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 in a different manner. Thus, automated agents must rely on a good opponent modeling component to model their counterpart and adapt their behavior to their partner. In this paper we present the KBAgent. The KBAgent is an automated negotiator that negotiates with each person only once, and uses past negotiation sessions of others as a knowledge base for general opponent modeling. The database is used to extract the likelihood of acceptance and proposals that may be offered by the opposite side. Experiments conducted with people show that the KBAgent negotiates efficiently with people and even achieves better utility values than another automated negotiator, shown to be efficient in negotiations with people. Moreover, the KBAgent achieves significantly better agreements, in terms of individual utility, than the human counterparts playing the same role.
KW - Automated bilateral negotiation
KW - Opponent modeling
UR - http://www.scopus.com/inward/record.url?scp=77958523438&partnerID=8YFLogxK
M3 - ???researchoutput.researchoutputtypes.contributiontobookanthology.conference???
AN - SCOPUS:77958523438
SN - 9781615673346
T3 - Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS
SP - 750
EP - 757
BT - 8th International Joint Conference on Autonomous Agents and Multiagent Systems 2009, AAMAS 2009
PB - International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
T2 - 8th International Joint Conference on Autonomous Agents and Multiagent Systems 2009, AAMAS 2009
Y2 - 10 May 2009 through 15 May 2009
ER -