Fuzzy constraint-based agents for negotiation in e-commerce

被引：0
|
作者：
Lin, MW [1 ]
Lai, R [1 ]
Yu, TJ [1 ]
机构：
[1] Yuan Ze Univ, Dept Comp Engn & Sci, Chungli 32026, Taiwan
来源：
IKE'03: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON INFORMATION AND KNOWLEDGE ENGINEERING, VOLS 1 AND 2 | 2003年
关键词：
autonomous agent; agent negotiation; fuzzy constraints; negotiation in e-commerce;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents a general problem-solving framework for the modeling of agent negotiation in electronic commerce via fuzzy constraint processing. We formulate agent negotiation as a distributed fuzzy constraint satisfaction problem (DFCSP). Fuzzy constraints, in this way, are used to represent the relationship among agents and define each agent's demands with human conceptualization. On the other hand, basing on fuzzy constraint-based problem-solving, we propose a concession strategy to relax demands and create new feasible proposals and also a trade-off strategy to evaluate the existing alternatives. This approach provides a systematic method to reach a satisfactory agreement without deleting any agent's demand arbitrarily or being annoyed by excessive feasible proposals. To demonstrate the effectiveness of our approach, an example application of e-Marketplace is provided.
引用
收藏
页码：452 / 458
页数：7
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