How to Prefer More Specific Defaults in Terminological Default Logic
Proceedings of the Thirteenth International Joint Conference on Artificial Intelligence. Knowledge Representation. Pages 669-674.
Abstract
In a recent paper we have proposed terminological default logic as a formalism which combines both means for structured representation of classes and objects, and for default inheritance of properties. The major drawback which terminological default logic inherits from general default logic is that it does not take precedence of more specific defaults over more general ones into account. The pres e nt paper addresses the problem of modifying terminological default logic such that more specific defaults are preferred. It turns out that the existing approaches for expressing priorities between defaults do not seem to be appropriate for this purpose. Therefore we shall consider an alternative approach for dealing with prioritization in the framework of Reiter's default logic. The formalism is presented in the general setting of default logic where priorities are given by an arbitrary partial ordering on the defaults. We shall exhibit some interesting properties of the new formalism, compare it with existing approaches, and describe an algorithm for computing extensions.
@inproceedings{ijcai1993p94,
title = {How to Prefer More Specific Defaults in Terminological Default Logic},
author = {Baader, Franz and Hollunder, Bernhard},
booktitle = {Proceedings of the Thirteenth International Joint Conference on
Artificial Intelligence, {IJCAI-93}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Ruzena Bajcsy},
pages = {669--674},
year = {1993},
note = {Knowledge Representation},
url = {https://ijcai.org/proceedings/1993/94},
}
TY - CPAPER TI - How to Prefer More Specific Defaults in Terminological Default Logic AU - Baader, Franz AU - Hollunder, Bernhard T2 - Proceedings of the Thirteenth International Joint Conference on Artificial Intelligence, IJCAI-93 PB - International Joint Conferences on Artificial Intelligence PY - 1993 SP - 669 EP - 674 UR - https://ijcai.org/proceedings/1993/94 ER -Copied
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