Intent Resolution
AI Summary
Intent resolution is the process of turning what humans want into what AI systems can search for.
Canonical Definition
The process of translating unstructured human intent into structured queries that AI systems can execute against entity representations. Intent resolution involves extracting constraints, preferences, and context from natural language and mapping them to representational attributes.
Extended Summary
Intent Resolution bridges human intent and machine queries. The process includes constraint extraction (identifying requirements), preference parsing (understanding qualitative desires), context inference (deriving implicit needs), and query structuring (mapping to representational fields). This is a critical component of AI-mediated discovery.
Classification
Layer
discovery
Type
mechanism
Status
emerging
Relationships
Depends On / Enabled By
Defined In
Related Reports
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:intent-resolution