TY - CHAP
T1 - An evolutionary approach for intelligent negotiation agents in e-marketplaces
AU - Lau, Raymond Y.K.
PY - 2009
Y1 - 2009
N2 - Automated negotiation mechanisms are desirable to enhance the throughput of e-marketplaces. However, existing negotiation mechanisms are weak in supporting real-world negotiations because they assume the availability of complete information about static negotiation spaces where both negotiator's preferences and market conditions remain unchanged. This article illustrates the design and development of evolutionary negotiation agents which are able to learn from and adapt to dynamic negotiation environment. Our experimental results show that the proposed evolutionary negotiation agents outperform a Pareto optimal negotiation mechanism under dynamic negotiation conditions such as the presence of time pressure. These agents can also achieve near optimal negotiation outcomes under dynamic negotiation environment. Our research work opens the door to the development of intelligent negotiation agents to streamline real-world e-marketplaces. © 2009 Springer-Verlag Berlin Heidelberg.
AB - Automated negotiation mechanisms are desirable to enhance the throughput of e-marketplaces. However, existing negotiation mechanisms are weak in supporting real-world negotiations because they assume the availability of complete information about static negotiation spaces where both negotiator's preferences and market conditions remain unchanged. This article illustrates the design and development of evolutionary negotiation agents which are able to learn from and adapt to dynamic negotiation environment. Our experimental results show that the proposed evolutionary negotiation agents outperform a Pareto optimal negotiation mechanism under dynamic negotiation conditions such as the presence of time pressure. These agents can also achieve near optimal negotiation outcomes under dynamic negotiation environment. Our research work opens the door to the development of intelligent negotiation agents to streamline real-world e-marketplaces. © 2009 Springer-Verlag Berlin Heidelberg.
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U2 - 10.1007/978-3-540-88071-4_12
DO - 10.1007/978-3-540-88071-4_12
M3 - RGC 12 - Chapter in an edited book (Author)
SN - 9783540880707
T3 - Studies in Computational Intelligence
SP - 279
EP - 301
BT - Intelligent Agents in the Evolution of Web and Applications
PB - Springer
ER -