DocumentCode
548490
Title
Negotiation and persuasion approach using reinforcement learning technique on broker´s board agent system
Author
Mayya, Yun ; Kyung, Lee Tae ; Seok, Ko Il
Author_Institution
Dept. of Comput. Sci., Dongguk Univ., Gyeongju, South Korea
fYear
2011
fDate
21-23 June 2011
Firstpage
30
Lastpage
34
Abstract
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.
Keywords
learning (artificial intelligence); multi-agent systems; stock markets; broker board agent system; multi-agent system; negotiation approach; persuasion approach; reinforcement learning; Biological system modeling; Decision making; Electronic commerce; Learning; Multiagent systems; Silicon; Stock markets;
fLanguage
English
Publisher
ieee
Conference_Titel
Networked Computing and Advanced Information Management (NCM), 2011 7th International Conference on
Conference_Location
Gyeongju
Print_ISBN
978-1-4577-0185-6
Electronic_ISBN
978-89-88678-37-4
Type
conf
Filename
5967512
Link To Document