IJCAI 2023poster28 citations
Anti-unification and Generalization: A Survey
Abstract
Anti-unification (AU) is a fundamental operation for generalization computation used for inductive inference. It is the dual operation to unification, an operation at the foundation of automated theorem proving. Interest in AU from the AI and related communities is growing, but without a systematic study of the concept nor surveys of existing work, investigations often resort to developing application-specific methods that existing approaches may cover. We provide the first survey of AU research and its applications and a general framework for categorizing existing and future developments.
Survey: Knowledge Representation and ReasoningSurvey: Multidisciplinary Topics and Applications
BibTeX
@inproceedings{ijcai2023p736,
title = {Anti-unification and Generalization: A Survey},
author = {Cerna, David M. and Kutsia, Temur},
booktitle = {Proceedings of the Thirty-Second International Joint Conference on
Artificial Intelligence, {IJCAI-23}},
publisher = {International Joint Conferences on Artificial Intelligence Organization},
editor = {Edith Elkind},
pages = {6563--6573},
year = {2023},
month = {8},
note = {Survey Track},
doi = {10.24963/ijcai.2023/736},
url = {https://doi.org/10.24963/ijcai.2023/736},
}