
TL;DR
This paper explores the concept of 'knowledge' within formal set theory models to relate it to computational complexity, proposing that assuming certain large cardinal axioms can imply P=NP∩co-NP and enable fast number factoring.
Contribution
It introduces a formal notion of knowledge in set theory models and links it to complexity classes, showing how large cardinal assumptions influence computational problems.
Findings
Defined a formal concept of knowledge in set theory models.
Constructed models with knowledge of many functions under large cardinal assumptions.
Proved that assuming a worldly cardinal, certain NP∩co-NP problems are in P.
Abstract
Over the course of the last 50 years, many questions in the field of computability were left surprisingly unanswered. One example is the question of vs . It could be phrased in loose terms as "If a person has the ability to verify a proof and a disproof to a problem, does this person know a solution to that problem?". When talking about people, one can of course see that the question depends on the knowledge the specific person has on this problem. Our main goal will be to extend this observation to formal models of set theory : given a model and a specific problem in , we can show that the problem is in if we have "knowledge" of . In this paper, we'll define the concept of knowledge and elaborate why it agrees with the intuitive concept of knowledge. Next we will construct a model in which we have knowledge on many functions.…
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Taxonomy
TopicsComputability, Logic, AI Algorithms · Logic, Reasoning, and Knowledge · Advanced Topology and Set Theory
