36 lines
1.4 KiB
Markdown
36 lines
1.4 KiB
Markdown
---
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id: task-036
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title: Implement Possibility Cones and Constraint Propagation System
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status: Done
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assignee: []
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created_date: '2025-12-05 00:45'
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labels:
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- feature
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- open-mapping
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- visualization
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dependencies: []
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priority: high
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---
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## Description
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<!-- SECTION:DESCRIPTION:BEGIN -->
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Implemented a mathematical framework for visualizing how constraints propagate through decision pipelines. Each decision point creates a "possibility cone" - a light-cone-like structure representing reachable futures. Subsequent constraints act as apertures that narrow these cones.
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Key components:
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- types.ts: Core type definitions (SpacePoint, PossibilityCone, ConeConstraint, ConeIntersection, etc.)
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- geometry.ts: Vector operations, cone math, conic sections, intersection algorithms
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- pipeline.ts: ConstraintPipelineManager for constraint propagation through stages
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- optimization.ts: PathOptimizer with A*, Dijkstra, gradient descent, simulated annealing
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- visualization.ts: Rendering helpers for 2D/3D projections, SVG paths, canvas rendering
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Features:
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- N-dimensional possibility space with configurable dimensions
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- Constraint pipeline with stages and dependency analysis
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- Multiple constraint surface types (hyperplane, sphere, cone, custom)
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- Value-weighted path optimization through constrained space
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- Waist detection (bottleneck finding)
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- Caustic point detection (convergence analysis)
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- Animation helpers for cone narrowing visualization
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<!-- SECTION:DESCRIPTION:END -->
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