Preference-Based CBR: General Ideas and Basic Principles
Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence. Pages 3012-3015.
Abstract
Building on recent research on preference handling in artificial intelligence and related fields, our goal is to develop a coherent and generic methodological framework for case-based reasoning (CBR) on the basis of formal concepts and methods for knowledge representation and reasoning with preferences. A preference-based approach to CBR appears to be appealing for several reasons, notably because case-based experiences naturally lend themselves to representations in terms of preference or order relations. Moreover, the flexibility and expressiveness of a preference-based formalism well accommodate the uncertain and approximate nature of case-based problem solving. In this paper, we outline the basic ideas of preference-based CBR and sketch a formal framework for realizing these ideas.
@inproceedings{ijcai2013p447,
title = {Preference-Based CBR: General Ideas and Basic Principles},
author = {Hüllermeier, Eyke and Cheng, Weiwei},
booktitle = {Proceedings of the Twenty-Third International Joint Conference on
Artificial Intelligence, {IJCAI-13}},
publisher = {AAAI Press / International Joint Conferences on Artificial Intelligence},
editor = {Francesca Rossi},
pages = {3012--3015},
year = {2013},
month = {8},
url = {https://ijcai.org/proceedings/2013/447},
}
TY - CPAPER TI - Preference-Based CBR: General Ideas and Basic Principles AU - Hüllermeier, Eyke AU - Cheng, Weiwei T2 - Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence, IJCAI-13 PB - AAAI Press / International Joint Conferences on Artificial Intelligence PY - 2013 SP - 3012 EP - 3015 UR - https://ijcai.org/proceedings/2013/447 ER -Copied
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