Symbolic Techniques for Quantitative Extensions of Equality [SQUEE]

Project Description

FWF Project No P 35530

Project Lead

Project Duration

01/04/2022 - 31/03/2026

Project URL

Go to Website

Publications

2023

[Cerna]

Anti-unification and Generalization: a Survey

David Cerna, Temur Kutsia

In: Proceedings of IJCAI 2023 - 32nd International Joint Conference on Artifical Intelligence, Edith Elkind (ed.), pp. 6563-6573. 2023. ijcai.org, ISBN 978-1-956792-03-4 . [doi]
[bib]
@inproceedings{RISC6743,
author = {David Cerna and Temur Kutsia},
title = {{Anti-unification and Generalization: a Survey}},
booktitle = {{Proceedings of IJCAI 2023 - 32nd International Joint Conference on Artifical Intelligence}},
language = {english},
pages = {6563--6573},
publisher = {ijcai.org},
isbn_issn = {ISBN 978-1-956792-03-4 },
year = {2023},
editor = {Edith Elkind},
refereed = {yes},
length = {11},
url = {https://doi.org/10.24963/ijcai.2023/736}
}
[Kutsia]

Nominal AC-Matching

Mauricio Ayala-Rincón, Maribel Fernández, Gabriel Ferreira Silva, Temur Kutsia, and Daniele Nantes-Sobrinho

In: Proceedings of the 16th International Conference on Intelligent Computer Mathematics, CICM 2023, Catherine Dubois and Manfred Kerber (ed.), Lecture Notes in Aritificial Intelligence 14101, pp. 53-68. 2023. Springer, ISBN 978-3-031-42752-7. [doi]
[bib]
@inproceedings{RISC6744,
author = {Mauricio Ayala-Rincón and Maribel Fernández and Gabriel Ferreira Silva and Temur Kutsia and and Daniele Nantes-Sobrinho},
title = {{Nominal AC-Matching}},
booktitle = {{Proceedings of the 16th International Conference on Intelligent Computer Mathematics, CICM 2023}},
language = {english},
series = {Lecture Notes in Aritificial Intelligence},
volume = {14101},
pages = {53--68},
publisher = {Springer},
isbn_issn = {ISBN 978-3-031-42752-7},
year = {2023},
editor = {Catherine Dubois and Manfred Kerber},
refereed = {yes},
length = {16},
url = {https://doi.org/10.1007/978-3-031-42753-4_4}
}

2022

[Kutsia]

Work-in-progress papers presented at the 15th Conference on Intelligent Computer Mathematics, CICM 2022 (Informal Proceedings)

Kevin Buzzard and Temur Kutsia

, 2022. [url] [pdf]
[bib]
@techreport{RISC6584,
author = {Kevin Buzzard and Temur Kutsia},
title = {{Work-in-progress papers presented at the 15th Conference on Intelligent Computer Mathematics, CICM 2022 (Informal Proceedings)}},
language = {english},
year = {2022},
institution = { },
length = {77},
url = {https://cicm-conference.org/2022/cicm.php}
}
[Pau]

A framework for approximate generalization in quantitative theories

Temur Kutsia, Cleo Pau

Technical report no. 22-04 in RISC Report Series, Research Institute for Symbolic Computation (RISC), Johannes Kepler University Linz, Austria. ISSN 2791-4267 (online). May 2022. Licensed under CC BY 4.0 International. [doi] [pdf]
[bib]
@techreport{RISC6505,
author = {Temur Kutsia and Cleo Pau},
title = {{A framework for approximate generalization in quantitative theories}},
language = {english},
abstract = {Anti-unification aims at computing generalizations for given terms, retaining their common structure and abstracting differences by variables. We study quantitative anti-unification where the notion of the common structure is relaxed into "proximal'' up to the given degree with respect to the given fuzzy proximity relation. Proximal symbols may have different names and arities. We develop a generic set of rules for computing minimal complete sets of approximate generalizations and study their properties. Depending on the characterizations of proximities between symbols and the desired forms of solutions, these rules give rise to different versions of concrete algorithms.},
number = {22-04},
year = {2022},
month = {May},
keywords = {Generalization, anti-unification, quantiative theories, fuzzy proximity relations},
length = {22},
license = {CC BY 4.0 International},
type = {RISC Report Series},
institution = {Research Institute for Symbolic Computation (RISC), Johannes Kepler University Linz},
address = {Altenberger Straße 69, 4040 Linz, Austria},
issn = {2791-4267 (online)}
}
[Pau]

A Framework for Approximate Generalization in Quantitative Theories

Temur Kutsia and Cleo Pau

In: Automated Reasoning, Jasmin Blanchette, Laura Kovács, and Dirk Pattinson (ed.), Proceedings of 11th International Joint Conference, IJCAR 2022, Haifa, Israel, August 8-10, 2022, Lecture Notes in Artificial Intelligence 13385, pp. 578-596. 2022. Springer, ISBN 978-3-031-10768-9. [doi]
[bib]
@inproceedings{RISC6631,
author = {Temur Kutsia and Cleo Pau},
title = {{A Framework for Approximate Generalization in Quantitative Theories}},
booktitle = {{Automated Reasoning}},
language = {english},
series = {Lecture Notes in Artificial Intelligence},
volume = {13385},
pages = {578--596},
publisher = {Springer},
isbn_issn = {ISBN 978-3-031-10768-9},
year = {2022},
editor = {Jasmin Blanchette and Laura Kovács and and Dirk Pattinson},
refereed = {yes},
sponsor = {FWF},
length = {19},
conferencename = {11th International Joint Conference, IJCAR 2022, Haifa, Israel, August 8-10, 2022},
url = {https://doi.org/10.1007/978-3-031-10769-6}
}

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