Don't choose theories: Normative inductive reasoning and the status of physical theories
Andr\'e C. R. Martins

TL;DR
This paper argues for a normative approach to evaluating physical theories using Solomonoff induction, emphasizing that all ideas should be considered scientifically valid until data renders them improbable, challenging traditional demarcation.
Contribution
It applies Solomonoff induction to the problem of theory evaluation in physics, offering a new perspective on the acceptance of theories like string theory without direct data support.
Findings
Solomonoff induction clarifies the role of priors and heuristics in theory choice.
Rejecting theories without data is unjustified according to the proposed framework.
Every conceivable idea can be scientifically valid until evidence makes it improbable.
Abstract
Evaluating theories in physics used to be easy. Our theories provided very distinct predictions. Experimental accuracy was so small that worrying about epistemological problems was not necessary. That is no longer the case. The underdeterminacy problem between string theory and the standard model for current possible experimental energies is one example. We need modern inductive methods for this problem, Bayesian methods or the equivalent Solomonoff induction. To illustrate the proper way to work with induction problems I will use the concepts of Solomoff induction to study the status of string theory. Previous attempts have focused on the Bayesian solution. And they run into the question of why string theory is widely accepted with no data backing it. Logically unsupported additions to the Bayesian method were proposed. I will show here that, by studying the problem from the point of…
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Taxonomy
TopicsPhilosophy and History of Science · Probability and Statistical Research · Computability, Logic, AI Algorithms
