# Shannon Entropy **Entity class:** Concept or analytic term ## Definition **Shannon Entropy** is the expected information content of outcomes under a probability distribution, measured as uncertainty before an outcome is known. ## Relationships **Related concepts:** [[wiki/Information Theory|Information Theory]] · [[wiki/Compression|Compression]] · [[wiki/Signal Detection|Signal Detection]] · [[wiki/minimum causally sufficient residual|Minimum Causally Sufficient Residual]] **Collections:** [[collections/Consciousness Continuity|Consciousness Continuity]] · [[collections/Neurotech|Neurotech]] · [[collections/Machine Succession|Machine Succession]] **Canonical source article:** [[articles/Mind Uploading and AI — The Host is Reusable and the Person is the Delta|Mind Uploading and AI — The Host is Reusable and the Person is the Delta]] These links record conceptual dependencies and contrasts. Institutional control, technology transfer, and empirical continuity are tracked as separate relationship types. <!-- BEGIN HUMANIZED RELATIONSHIPS 2026-09-11 --> This entry's documented connections are expressed in its definition and related-work routes, with provenance retained in the source-linked material. <!-- END HUMANIZED RELATIONSHIPS 2026-09-11 -->