# Shannon Entropy ## Definition **Shannon Entropy** is the expected information content of outcomes under a probability distribution, measured as uncertainty before an outcome is known. In the host-infrastructure corpus, the term is used only at this level of abstraction; its presence in a relationship graph does not settle philosophical identity, authorize surveillance, or establish a corporate continuity program. ## 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]] **Relationship source:** [[research/Mind Uploading and AI Host-Residual Ecosystem Relationship Graph - 2026-09-10|Mind Uploading and AI Host-Residual Ecosystem Relationship Graph — 2026-09-10]] These links identify conceptual dependencies or contrasts. They do not imply ownership, institutional control, technology transfer, or empirical proof of consciousness continuity.