Prediction in the Hypothesis-Rich Regime

TL;DR

This paper introduces a new mathematical framework for making predictions in complex systems with many plausible explanations, addressing a key challenge in systems biology and similar fields.

Contribution

It presents an innovative approach and framework for prediction in hypothesis-rich environments, expanding beyond traditional physics methods.

Findings

New mathematical framework for hypothesis-rich prediction

Addresses challenges in systems biology and complex systems

Provides a basis for future research in complex system prediction

Abstract

We describe the fundamental difference between the nature of problems in traditional physics and that of many problems arising today in systems biology and other complex settings. The difference hinges on the much larger number of a priori plausible alternative laws for explaining the phenomena at hand in the latter case. An approach and a mathematical framework for prediction in this hypothesis-rich regime are introduced.