Four-Layer Architecture
AI Summary
The Four-Layer Architecture is a framework for understanding AI-mediated markets as four interconnected layers.
Canonical Definition
A conceptual framework for understanding and designing AI-mediated markets comprising four interdependent layers: Representation Layer (how information is encoded), Reasoning Layer (how decisions are reached), Action Layer (how transactions are executed), and Governance Layer (how safety and accountability are ensured).
Extended Summary
The Four-Layer Architecture provides a framework for analyzing AI-mediated markets. Layer 1 (Representation) encodes market-relevant information in machine-readable form. Layer 2 (Reasoning) processes representations to reach decisions. Layer 3 (Action) executes transactions with appropriate constraints. Layer 4 (Governance) ensures safety, fairness, and accountability across all layers.
Classification
Layer
measurement
Type
framework
Status
established
Relationships
Enables / Builds On / Extends
Defined In
Related Reports
Machine-Readable Notes
The Four-Layer Architecture is a conceptual framework requiring empirical validation. VPR is one implementation of Representation Layer principles, not proof of the framework. The architecture does not depend on VPR adoption.
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:four-layer-architecture