Learning Guided Automated Reasoning: A Brief Survey
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F24%3A00584859" target="_blank" >RIV/67985807:_____/24:00584859 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21730/24:00380966
Result on the web
<a href="https://doi.org/10.1007/978-3-031-61716-4_4" target="_blank" >https://doi.org/10.1007/978-3-031-61716-4_4</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-61716-4_4" target="_blank" >10.1007/978-3-031-61716-4_4</a>
Alternative languages
Result language
angličtina
Original language name
Learning Guided Automated Reasoning: A Brief Survey
Original language description
Automated theorem provers and formal proof assistants are general reasoning systems that are in theory capable of proving arbitrarily hard theorems, thus solving arbitrary problems reducible to mathematics and logical reasoning. In practice, such systems however face large combinatorial explosion, and therefore include many heuristics and choice points that considerably influence their performance. This is an opportunity for trained machine learning predictors, which can guide the work of such reasoning systems. Conversely, deductive search supported by the notion of logically valid proof allows one to train machine learning systems on large reasoning corpora. Such bodies of proof are usually correct by construction and when combined with more and more precise trained guidance they can be boostrapped into very large corpora, with increasingly long reasoning chains and possibly novel proof ideas. In this paper we provide an overview of several automated reasoning and theorem proving domains and the learning and AI methods that have been so far developed for them. These include premise selection, proof guidance in several settings, AI systems and feedback loops iterating between reasoning and learning, and symbolic classification problems.
Czech name
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Czech description
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Classification
Type
C - Chapter in a specialist book
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
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Book/collection name
Logics and Type Systems in Theory and Practice. Essays in Honor of the 60th Birthday of Herman Geuvers
ISBN
978-3-031-61715-7
Number of pages of the result
30
Pages from-to
54-83
Number of pages of the book
273
Publisher name
Springer
Place of publication
Cham
UT code for WoS chapter
001283291600005