TY - GEN
T1 - Adaptive negotiation agents for e-business
AU - Lau, Raymond Y.K.
PY - 2005
Y1 - 2005
N2 - Negotiation has been identified as one of the key steps in Business-to-Business (B2B) transaction models. However, developing effective and efficient negotiation mechanisms for e-Business is quite challenging since negotiations in such a context are characterized by combinatorial complex negotiation spaces, tough deadlines, incomplete information about the opponents, and volatile negotiator preferences. Classical negotiation models are not able to offer a satisfactory solution to address all these issues. This paper illustrates our adaptive negotiation agents which are underpinned by a robust evolutionary learning mechanism to deal with complex and dynamic negotiation situations often encountered in e-Business applications. Our experimental results show that the proposed evolutionary negotiation agents outperform a theoretically optimal negotiation mechanism which guarantees Pareto optimal. Our research work opens the door to the development of practical negotiation systems for e-Business. Copyright 2005 ACM.
AB - Negotiation has been identified as one of the key steps in Business-to-Business (B2B) transaction models. However, developing effective and efficient negotiation mechanisms for e-Business is quite challenging since negotiations in such a context are characterized by combinatorial complex negotiation spaces, tough deadlines, incomplete information about the opponents, and volatile negotiator preferences. Classical negotiation models are not able to offer a satisfactory solution to address all these issues. This paper illustrates our adaptive negotiation agents which are underpinned by a robust evolutionary learning mechanism to deal with complex and dynamic negotiation situations often encountered in e-Business applications. Our experimental results show that the proposed evolutionary negotiation agents outperform a theoretically optimal negotiation mechanism which guarantees Pareto optimal. Our research work opens the door to the development of practical negotiation systems for e-Business. Copyright 2005 ACM.
KW - automated negotiation
KW - e-business
KW - evolutionary learning
KW - intelligent agents
UR - http://www.scopus.com/inward/record.url?scp=77953815340&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-77953815340&origin=recordpage
U2 - 10.1145/1089551.1089604
DO - 10.1145/1089551.1089604
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 1595931120
SN - 9781595931122
VL - 113
SP - 271
EP - 278
BT - ACM International Conference Proceeding Series
T2 - 7th International Conference on Electronic Commerce, ICEC05
Y2 - 15 August 2005 through 17 August 2005
ER -