Enhancing Case Adaptation with Introspective Reasoning and Web Mining
Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence. Pages 2680-2684.
Abstract
Case-based problem-solving systems reason by retrieving relevant prior cases and adapting their solutions to fit new circumstances. The ability of case-based reasoning (CBR) to reason from ungeneralized episodes can benefit knowledge acquisition, but acquiring the needed case adaptation knowledge has proven challenging. This paper presents a method for alleviating this problem with just-in-time gathering of case adaptation knowledge, based on introspective reasoning and mining of Web knowledge sources. The approach combines knowledge planning with introspective reasoning to guide recovery from case adaptation failures and reinforcement learning to guide selection of knowledge sources. The failure recovery and knowledge source selection methods have been tested in three highly different domains with encouraging results. The paper closes with a discussion of limitations and future steps.
@inproceedings{ijcai2011p446,
title = {Enhancing Case Adaptation with Introspective Reasoning and Web Mining},
author = {Leake, David B. and Powell, Jay H.},
booktitle = {Proceedings of the Twenty-Second International Joint Conference on
Artificial Intelligence, {IJCAI-11}},
publisher = {AAAI Press/International Joint Conferences on Artificial Intelligence},
editor = {Toby Walsh},
pages = {2680--2684},
year = {2011},
month = {7},
doi = {10.5591/978-1-57735-516-8/IJCAI11-446},
url = {https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-446},
}
TY - CPAPER TI - Enhancing Case Adaptation with Introspective Reasoning and Web Mining AU - Leake, David B. AU - Powell, Jay H. T2 - Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, IJCAI-11 PB - AAAI Press/International Joint Conferences on Artificial Intelligence PY - 2011 SP - 2680 EP - 2684 DO - 10.5591/978-1-57735-516-8/IJCAI11-446 UR - https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-446 ER -Copied
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