Work

From Distinguishability to Information

Year: 2026

Type: article

Abstract: This paper explains how observations change the probabilities assigned to possible states and how information can be understood as a reduction in uncertainty. A simple example introduces Bayesian updating and distinguishes the assessment of evidence from the choice of an action. Further examples introduce the bit and Shannon entropy, explain why repeated observations need not provide independent evidence, and clarify why the amount of information does not by itself establish truth or meaning.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.24060044

Author: Shanidze, Michael

Language: English

Topic: Bayesian Modeling and Causal Inference

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7225572909

FWCI:

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Related to: 10