Title :
Designing flexible negotiation agent with relaxed decision rules
Author :
Sim, Kwang Mong ; Wang, Shi Yu
Author_Institution :
Dept. of Inf. Eng., Chinese Univ. of Hong Kong, China
Abstract :
This article presents a model for designing negotiation agent with two distinguishing features: 1) a market-driven strategy and 2) a set of relaxed decision rules. Market-driven agents make adjustable rates of concession by reacting to changing market situations. In determining the amount of concession for each negotiation round, a market-driven agent is guided by three mathematical functions of remaining trading time, trading opportunity, and competition. Furthermore, agents in this research are also guided by a set of fuzzy rules for determining whether to relax their trading aspirations in the face of (very) high negotiation pressures such as fast approaching deadlines, and high competitions. Empirical results suggest that on average, when compared to Sim´s market-driven, agents in this research achieved 1) higher success rates in reaching a deal and 2) higher expected utilities.
Keywords :
decision making; decision support systems; electronic commerce; multi-agent systems; Sim; flexible negotiation agent; fuzzy rule; market-driven agent; market-driven agents; negotiation agent design; negotiation pressure; relaxed decision rule; trading aspiration; trading competition; trading opportunity; trading time; Design engineering; Electronic mail; Fuzzy sets; Intelligent agent; Performance analysis; Utility theory;
Conference_Titel :
Intelligent Agent Technology, 2003. IAT 2003. IEEE/WIC International Conference on
Print_ISBN :
0-7695-1931-8
DOI :
10.1109/IAT.2003.1241080