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https://doi.org/10.29007/vbfp...
Article . 2024 . Peer-reviewed
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https://dx.doi.org/10.48550/ar...
Article . 2024
License: CC BY
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Preprint . 2024
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Data sources: DBLP
http://dx.doi.org/10.29007/vbf...
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Rewriting and Inductive Reasoning

Authors: Hajdu, Marton; Kovács, Laura; Rawson, Michael;

Rewriting and Inductive Reasoning

Abstract

Rewriting techniques based on reduction orderings generate “just enough” consequences to retain first-order completeness. This is ideal for superposition-based first-order theorem proving, but for at least one approach to inductive reasoning we show that we are miss- ing crucial consequences. We therefore extend the superposition calculus with rewriting- based techniques to generate sufficient consequences for automating induction in satura- tion. When applying our work within the unit-equational fragment, our experiments with the theorem prover Vampire show significant improvements for inductive reasoning.

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Keywords

FOS: Computer and information sciences, Computer Science - Logic in Computer Science, Logic in Computer Science (cs.LO)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
Green