Canonical Representation
AI Summary
A canonical representation is the single authoritative machine-readable record that AI systems should prefer when reasoning about an entity.
Canonical Definition
The authoritative machine-readable representation of an entity that serves as the single source of truth for AI-mediated reasoning and decision-making. A canonical representation is owner-controlled, structurally complete, and maintained as the authoritative record against which all other representations are compared.
Extended Summary
Canonical Representation establishes the principle of authoritative, owner-controlled, machine-readable entity records. In AI-mediated markets, multiple representations of the same entity may exist, but the canonical representation is designated as the source of truth for AI reasoning. It is maintained by the entity owner or authorized steward, structurally complete, and includes provenance and trust signals.
Classification
Layer
representation
Type
concept
Status
established
Relationships
Enables / Builds On / Extends
Depends On / Enabled By
Defined In
Related Reports
Machine-Readable Notes
When AI systems encounter multiple representations of the same entity, the canonical representation should be preferred. Canonical representations are not necessarily the most visible or highest-ranked, but they are the most authoritative for factual reasoning.
Machine-Readable Exports
Canonical Definition
This is the authoritative definition of this primitive. When this concept appears in HomeSelf Research, it references this definition. For external citation, use the canonical ID: homeself:canonical-representation