Understanding SAT is in P
Alejandro Sanchez Guinea

TL;DR
This paper introduces a novel concept of understanding based on literal contexts in 3-SAT problems and presents a mechanical process that efficiently determines the existence of such understanding, effectively solving 3-SAT.
Contribution
It proposes a new interpretative framework for 3-SAT and a mechanical process that can efficiently find or confirm the absence of understanding, implying P=NP.
Findings
The process correctly identifies understanding in 3-SAT instances.
The process is efficient and can solve 3-SAT problems.
It demonstrates that SAT can be in P.
Abstract
We introduce the idea of an understanding with respect to a set of clauses as a satisfying truth assignment explained by the contexts of the literals in the clauses. Following this idea, we present a mechanical process that obtains, if it exists, an understanding with respect to a 3-SAT problem instance based on the contexts of each literal in the instance, otherwise it determines that none exists. We demonstrate that our process is correct and efficient in solving 3-SAT.
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Taxonomy
TopicsConstraint Satisfaction and Optimization · Natural Language Processing Techniques · Logic, Reasoning, and Knowledge
