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Negotiation and persuasion approach using reinforcement learning technique on broker's board agent system

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3 Author(s)
Yun Mayya ; Department of Computer Science, Dongguk University Gyeongju, South Korea ; Lee Tae Kyung ; Ko Il Seok

In this paper, multi-agent system using negotiation and persuasion method with reinforcement learning, implemented on broker's board agent system is proposed. The objective of this research was to design prototype of broker's board multi agent system with negotiation and persuasion capability based on reinforcement learning. For evaluation the agents, we did learning process, in order to find the agent, who makes the best solutions for raising capital.

Published in:

Networked Computing and Advanced Information Management (NCM), 2011 7th International Conference on

Date of Conference:

21-23 June 2011