---
id: task-036
title: Implement Possibility Cones and Constraint Propagation System
status: Done
assignee: []
created_date: '2025-12-05 00:45'
labels:
  - feature
  - open-mapping
  - visualization
dependencies: []
priority: high
---

## Description

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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.

Key components:
- types.ts: Core type definitions (SpacePoint, PossibilityCone, ConeConstraint, ConeIntersection, etc.)
- geometry.ts: Vector operations, cone math, conic sections, intersection algorithms
- pipeline.ts: ConstraintPipelineManager for constraint propagation through stages
- optimization.ts: PathOptimizer with A*, Dijkstra, gradient descent, simulated annealing
- visualization.ts: Rendering helpers for 2D/3D projections, SVG paths, canvas rendering

Features:
- N-dimensional possibility space with configurable dimensions
- Constraint pipeline with stages and dependency analysis
- Multiple constraint surface types (hyperplane, sphere, cone, custom)
- Value-weighted path optimization through constrained space
- Waist detection (bottleneck finding)
- Caustic point detection (convergence analysis)
- Animation helpers for cone narrowing visualization
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