Multi-Issue Automated Negotiation with Different Strategies for a Car Dealer Business Scenario

被引：0
|
作者：
Radu, Serban [1 ]
机构：
[1] Univ Politehn Bucuresti, Dept Comp Sci, Bucharest, Romania
来源：
2015 20TH INTERNATIONAL CONFERENCE ON CONTROL SYSTEMS AND COMPUTER SCIENCE | 2015年
关键词：
multi-agent systems; automated negotiation; strategies; Q-learning; AGENTS;
D O I：
10.1109/CSCS.2015.53
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The article presents a multi-agent system used for automated negotiation. Different bargaining strategies are used by agents. Machine learning techniques enhance the agents' behavior during negotiation. The negotiation model, based on the BDI paradigm, is tested in a business scenario involving a car dealer.
引用
收藏
页码：351 / 356
页数：6
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