research-document RFR-3485DA8E
Map boundary conditions and failure regimes: Visual Scene Construction, Predictive Processing, and Active Perception
RFR-3485DA8E — Map boundary conditions and failure regimes: Visual Scene Construction, Predictive Processing, and Active Perception
Research opportunity
Map boundary conditions and failure regimes for the claims or recommendations in “Visual Scene Construction, Predictive Processing, and Active Perception.”
Background
The originating artifact is accepted by the repository publishing inventory with status “complete.” Its Research State section provides the immediate evidence boundary.
Evidence trace
- Origin document: content/projects/composition-science/research-execution-package/rp-comp-005-visual-scene-construction.md
- Section:
Research State - Specific assumption challenged: The source's treatment in “Research State” is sufficiently supported for its intended scope.
- Supporting evidence excerpt: “This canonical repository record integrates the completed execution package into the Composition Science artifact system. The full research journal, evidence registry, hypothesis registry, bibliography, debt register, and completion checklist remain in the source package identified in frontmatter.”
- Reason this opportunity exists: The conditions under which the documented recommendation weakens, reverses, or creates a competing cost.
Unknowns
- The conditions under which the documented recommendation weakens, reverses, or creates a competing cost.
Dependencies
Suggested REP and methodology
- Suggested REP:
REP-RP-COMP-005-BOUNDARY - Methodology: Use a factorial stress test across task, user, context, device, and consequence variables; model interactions rather than relying on aggregate means.
- Expected outputs: Boundary-condition matrix, failure taxonomy, interaction model, and revised scope statement.
- Success criteria: At least one credible failure regime is tested and the valid operating envelope is quantitatively described.
- Recommended agent:
experimentation-research-agent - Estimated effort: Medium
- Expected knowledge gained: The conditions under which the documented recommendation weakens, reverses, or creates a competing cost.
Evaluation
| Dimension | Score (1–5) |
|---|---|
| Knowledge gain | 4 |
| Potential impact | 5 |
| Cross-project reuse | 5 |
| Scientific importance | 5 |
| Dependency cost | 5 |
| Implementation difficulty | 4 |
| Frontier score | 491 |
Confidence in this opportunity: moderate. Status: Open.