Equivalence in Abductive Logic
Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence. Pages 472-476.
Abstract
We consider the problem of identifying equivalence of two knowledge bases which are capable of abductive reasoning. Here, a knowledge base is written in either first-order logic or nonmonotonic logic programming. In this work, we will give two definitions of abductive equivalence. The first one, explainable equivalence, requires that two abductive programs have the same explainability for any observation. Another one, explanatory equivalence, guarantees that any observation has exactly the same explanations in each abductive framework. Explanatory equivalence is a stronger notion than explainable equivalence. In first-order abduction, explainable equivalence can be verified by the notion of extensional equivalence in default theories. In nonmonotonic logic programs, explanatory equivalence can be checked by means of the notion of relative strong equivalence. We also show the complexity results for abductive equivalence.
@inproceedings{ijcai2005p53,
title = {Equivalence in Abductive Logic},
author = {Inoue, Katsumi and Sakama, Chiaki},
booktitle = {Proceedings of the Nineteenth International Joint Conference on
Artificial Intelligence, {IJCAI-05}},
publisher = {International Joint Conferences on Artificial Intelligence},
pages = {472--476},
year = {2005},
url = {https://ijcai.org/proceedings/2005/53},
}
TY - CPAPER TI - Equivalence in Abductive Logic AU - Inoue, Katsumi AU - Sakama, Chiaki T2 - Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, IJCAI-05 PB - International Joint Conferences on Artificial Intelligence PY - 2005 SP - 472 EP - 476 UR - https://ijcai.org/proceedings/2005/53 ER -Copied
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