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
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;
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
