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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

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • 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

  • e-ISSN

  • 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