Anti-unification and Generalization: A Survey
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F23%3A00576264" target="_blank" >RIV/67985807:_____/23:00576264 - isvavai.cz</a>
Result on the web
<a href="https://dx.doi.org/10.24963/ijcai.2023/736" target="_blank" >https://dx.doi.org/10.24963/ijcai.2023/736</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.24963/ijcai.2023/736" target="_blank" >10.24963/ijcai.2023/736</a>
Alternative languages
Result language
angličtina
Original language name
Anti-unification and Generalization: A Survey
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/GF22-06414L" target="_blank" >GF22-06414L: Proof analysis AND Automated deduction FOr REcursive STructures</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence (IJCAI-23)
ISBN
978-1-956792-03-4
ISSN
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e-ISSN
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Number of pages
11
Pages from-to
6563-6573
Publisher name
International Joint Conferences on Artificial Intelligence
Place of publication
Vienna
Event location
Macao
Event date
Aug 19, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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