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A game playing robot that can learn from experience

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3 Author(s)
Abd El-Azim, R.A. ; Dept. of Phys. Electron. & Inf., Osaka City Univ., Osaka ; Ueno, A. ; Tatsumi, S.

We present a new approach for online learning an x-o game strategy by humanoid robot ldquohoap-3rdquo*. No preset data for game playing are provided in advance. The proposed system mechanism simulates human decision making to carry out the online game learning. ldquohaop-3rdquo autonomously gains experience needed for learning the game strategy from the human partner. The more intelligent human partner, the faster humanoid robot ldquohoap-3rdquo learning.

Published in:
Human System Interactions, 2008 Conference on

Date of Conference: 25-27 May 2008

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