Presentation 2000/7/12
An Aproach of Robot Behavior Learning using Case-based Reasoning
Masanori Yorimitsu, Noriyuki Matsuda, Hirokazu Taki, Norihiro Abe,
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Abstract(in English) This paper described an application method of case-based reasoning for a robot action learning in real-time environment.The robot action learning is a typical problem of behaviorbased AI.Reinforceinent learning, GA and induction are adopted for this problem.On the other hand, the case-based reasoning is suitable for real-time action learning, bacause it is not necessary for the method to process row acquired cases.The efficiency of the knowledge extracted by this method is not better than the reinforcement learning.But the latter method needs the prior knowledge, and the former one has the advantage that it doesn't need that knowledge.We discuss the application methodology of case-based robot action learning in view of "generalization ratio of cases", "covering ratio of the problem space with cases"and "the number of cases".We use the Robocup simulator for evaluation of this method.
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Keyword(in English) Case-based Reasoning / Robotics / Machine Learning / Behavior-based Learning
Paper # OFS2000-28,AI2000-30
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Committee AI
Conference Date 2000/7/12(1days)
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Registration To Artificial Intelligence and Knowledge-Based Processing (AI)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) An Aproach of Robot Behavior Learning using Case-based Reasoning
Sub Title (in English)
Keyword(1) Case-based Reasoning
Keyword(2) Robotics
Keyword(3) Machine Learning
Keyword(4) Behavior-based Learning
1st Author's Name Masanori Yorimitsu
1st Author's Affiliation Department of Systems Engineering, Wakayama University()
2nd Author's Name Noriyuki Matsuda
2nd Author's Affiliation Department of Systems Engineering, Wakayama University
3rd Author's Name Hirokazu Taki
3rd Author's Affiliation Department of Systems Engineering, Wakayama University
4th Author's Name Norihiro Abe
4th Author's Affiliation Department of Information Engineering, Kyushu Institute of Technology
Date 2000/7/12
Paper # OFS2000-28,AI2000-30
Volume (vol) vol.100
Number (no) 199
Page pp.pp.-
#Pages 6
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