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Local simplification

Authors: Lynch, Christopher;

Local simplification

Abstract

We present a modification to the paramodulation inference system, where semantic equality and non-equality literals are stored as local simplifiers with each clause. The local simplifiers are created when new clauses are generated and inherited by the descendants of that clause. Then the local simplifiers can be used to perform demodulation and unit simplification, if certain conditions are satisfied. This reduces the search space of the theorem proving procedure and the length of the proofs obtained. In fact, we show that for ground SLD resolution with any selection rule, any set of clauses has a polynomial length proof. Without this technique, proofs may be exponential. We show that this process is sound, complete, and compatible with deletion rules (e.g., demodulation, subsumption, unit simplification, and tautology deletion), which do not have to be modified to preserve completeness. We also show the relationship between this technique and model elimination.

Country
France
Keywords

[INFO.INFO-OH] Computer Science [cs]/Other [cs.OH], Computational Theory and Mathematics, Theorem proving (deduction, resolution, etc.), local simplification inference system, Theoretical Computer Science, Information Systems, Computer Science Applications

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citations
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
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