INTEGRATING CASE BASED REASONING AND EXPLANATION BASED LEARNING IN AN APPRENTICE AGENT

Lei Wang, Tetsuo Sawaragi, Yajie Tian, Yukio Horiguchi

Abstract

The problem in applications of case based reasoning (CBR) is its utility problem, that is, the cost of retrieving the most appropriate case from the case library for a new given problem and the cost of adapting the retrieved case for solving the new given problem. This paper proposes an approach to solve the utility problem of CBR by integrating CBR and explanation based learning (EBL) from a perspective that emphasizes the function of learning in CBR. In this paper, CBR and EBL are integrated in an apprentice agent, and the application of this apprentice agent in the robotic assembly domain is given as an example.

References

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Paper Citation


in Harvard Style

Wang L., Sawaragi T., Tian Y. and Horiguchi Y. (2010). INTEGRATING CASE BASED REASONING AND EXPLANATION BASED LEARNING IN AN APPRENTICE AGENT . In Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-674-021-4, pages 667-670. DOI: 10.5220/0002763306670670


in Bibtex Style

@conference{icaart10,
author={Lei Wang and Tetsuo Sawaragi and Yajie Tian and Yukio Horiguchi},
title={INTEGRATING CASE BASED REASONING AND EXPLANATION BASED LEARNING IN AN APPRENTICE AGENT},
booktitle={Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2010},
pages={667-670},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002763306670670},
isbn={978-989-674-021-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - INTEGRATING CASE BASED REASONING AND EXPLANATION BASED LEARNING IN AN APPRENTICE AGENT
SN - 978-989-674-021-4
AU - Wang L.
AU - Sawaragi T.
AU - Tian Y.
AU - Horiguchi Y.
PY - 2010
SP - 667
EP - 670
DO - 10.5220/0002763306670670