Hampton Court Maze Pilot
Year: 2026
Type: preprint
Abstract: The Hampton Court Maze Pilot provides a minimal, operational demonstration of the three‑layer architecture for human‑interpretable machine reasoning. Using a simplified digital model of the Hampton Court Maze, the system separates problem solving, trace reconstruction, and human‑level interpretation into independent modules. A solver navigates the maze without explanation features, a trace system records its full decision path including dead ends and pivot points, and an interpreter converts the trace into a coherent narrative that a human reviewer can map onto the physical maze. This pilot validates the architecture’s core claim: machine reasoning can be decomposed into transparent, auditable layers that preserve rejected alternatives and support accountable human oversight.
Author: Biswell, Michael
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7221789778
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