Curb Your Theory! A Circumspective Approach for Inclusive Interpretation of Disjunctive Information
Proceedings of the Thirteenth International Joint Conference on Artificial Intelligence. Knowledge Representation. Pages 634-638.
Abstract
We introduce curbing, a new nonmonotonic technique of commonsense reasoning that is based on model minimality but unlike circumscription treats disjunction inclusively. A finitely axiomatized first-order theory T is transformed to a formula Curb(T) whose set of models is defined as the smallest collection of models which contains all minimal models ofT and which is closed und er formation of minimal upper bounds with respect to inclusion. We first give an intuitive definition of Curb in third-order logic and th en show how Curb can be equivalently expressed in second-order logic. We study the complexity of inferencing from a curbed propositional theory and present a PSPACE algorithm for this problem. Finally, we address different possibilities to approximate the curb of a theory.
@inproceedings{ijcai1993p89,
title = {Curb Your Theory! A Circumspective Approach for Inclusive Interpretation of Disjunctive Information},
author = {Eiter, Thomas and Gottlob, Georg and Gurevich, Yuri},
booktitle = {Proceedings of the Thirteenth International Joint Conference on
Artificial Intelligence, {IJCAI-93}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Ruzena Bajcsy},
pages = {634--638},
year = {1993},
note = {Knowledge Representation},
url = {https://ijcai.org/proceedings/1993/89},
}
TY - CPAPER TI - Curb Your Theory! A Circumspective Approach for Inclusive Interpretation of Disjunctive Information AU - Eiter, Thomas AU - Gottlob, Georg AU - Gurevich, Yuri T2 - Proceedings of the Thirteenth International Joint Conference on Artificial Intelligence, IJCAI-93 PB - International Joint Conferences on Artificial Intelligence PY - 1993 SP - 634 EP - 638 UR - https://ijcai.org/proceedings/1993/89 ER -Copied
Machine-readable versions of this paper, for tools and AI agents: