Computational philosophy of science

TL;DR

This paper proposes a novel computational complexity approach to philosophy of science, aiming to better describe and improve scientific processes compared to traditional logical methods.

Contribution

It introduces a new perspective using computational complexity theory to analyze scientific processes, moving beyond previous logical and mathematical approaches.

Findings

Highlights limitations of logical approaches in philosophy of science

Suggests computational complexity offers a more comprehensive framework

Proposes potential improvements in understanding scientific methodologies

Abstract

Philosophy of science attempts to describe all parts of the scientific process in a general way in order to facilitate the description, execution and improvements of this process. So far, all proposed philosophies have only covered existing processes and disciplines partially and imperfectly. In particular logical approaches have always received a lot of attention due to attempts to fundamentally address issues with the definition of science as a discipline with reductionist theories. We propose a new way to approach the problem from the perspective of computational complexity and argue why this approach may be better than previous propositions based on pure logic and mathematics.