Analogy and Abduction in Automated Deduction
Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence. Automated Reasoning. Pages 216-224.
Abstract
A method is presented for analogical reasoning in Automated Deduction . We focus on the abductive aspects of analogy and give a unified treatment for theorems and non-theorems. Abduction allows to deal with partial analogies thus strongly increasing the application field of the method. It also allows to detect "bad analogies" in several cases. Explanatory examples as well as more realistic examples quantifying the effects of using analogy (for theorem-proving and for counter-example building) are given.
@inproceedings{ijcai1997p33,
title = {Analogy and Abduction in Automated Deduction},
author = {Défourneaux, Gilles and Peltier, Nicolas},
booktitle = {Proceedings of the Fifteenth International Joint Conference on
Artificial Intelligence, {IJCAI-97}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Martha E. Pollack},
pages = {216--224},
year = {1997},
note = {Automated Reasoning},
url = {https://ijcai.org/proceedings/1997/33},
}
TY - CPAPER TI - Analogy and Abduction in Automated Deduction AU - Défourneaux, Gilles AU - Peltier, Nicolas T2 - Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, IJCAI-97 PB - International Joint Conferences on Artificial Intelligence PY - 1997 SP - 216 EP - 224 UR - https://ijcai.org/proceedings/1997/33 ER -Copied
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