Presentation 2001/11/9
Applying of Human Decision-Making Behaviors to RoboCup Software Agnets
Junichiro HIRAYAMA, Ruck THAWONMAS,
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Abstract(in English) Programming of software agents is a difficult task. As a result, machine learning techniques have been used in order to make software agents automatically learn to decide proper actions from data. However, this approach requires a large amount of data and might not guarantee the optimality of actions performed by the agents. In this paper, we report our first attempt to apply decision-making behaviors of humans to software agents, when both of them are present in the same environment. We aim at implementation of human instincts and experiences or sophisticated actions that can not be achieved merely by pure machine learning techniques. This time we used RoboCup simulation as an experimenting environment.
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Keyword(in English) Human Decision-Making / Software Agent / Decision Tree / C4.5 / Machine learning / RoboCup
Paper # AI2001-54
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Committee AI
Conference Date 2001/11/9(1days)
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Registration To Artificial Intelligence and Knowledge-Based Processing (AI)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Applying of Human Decision-Making Behaviors to RoboCup Software Agnets
Sub Title (in English)
Keyword(1) Human Decision-Making
Keyword(2) Software Agent
Keyword(3) Decision Tree
Keyword(4) C4.5
Keyword(5) Machine learning
Keyword(6) RoboCup
1st Author's Name Junichiro HIRAYAMA
1st Author's Affiliation Course of Information Systems Engineering, Graduate School of Engineering, Kochi University of Technology()
2nd Author's Name Ruck THAWONMAS
2nd Author's Affiliation Course of Information Systems Engineering, Graduate School of Engineering, Kochi University of Technology
Date 2001/11/9
Paper # AI2001-54
Volume (vol) vol.101
Number (no) 420
Page pp.pp.-
#Pages 5
Date of Issue