A Critique of "Solving the P/NP Problem Under Intrinsic Uncertainty", arXiv:0811.0463
Andrew Keenan Richardson, Cole Arthur Brown

TL;DR
This paper critically examines Jaeger's 2008 attempt to solve the P versus NP problem under uncertainty, highlighting logical flaws, unsupported assumptions, and missing rigorous proofs that undermine its validity.
Contribution
It provides a detailed critique identifying logical oversights, unsupported assumptions, and gaps in proof in Jaeger's approach to the P versus NP problem.
Findings
Identifies logical oversights in Jaeger's model
Highlights unsupported assumptions in the paper
Notes missing rigorous proofs weaken the argument
Abstract
Although whether P equals NP is an important, open problem in computer science, and although Jaeger's 2008 paper, "Solving the P/NP Problem Under Intrinsic Uncertainty" (arXiv:0811.0463) presents an attempt at tackling the problem by discussing the possibility that all computation is uncertain to some degree, there are a number of logical oversights present in that paper which preclude it from serious consideration toward having resolved P-versus-NP. There are several differences between the model of computation presented in Jaeger's paper and the standard model, as well as several bold assumptions that are not well supported in Jaeger's paper or in the literature. In addition, we find several omissions of rigorous proof that ultimately weaken this paper to a point where it cannot be considered a candidate solution to the P-versus-NP problem.
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Taxonomy
TopicsComputability, Logic, AI Algorithms · Logic, Reasoning, and Knowledge · Complexity and Algorithms in Graphs
