All notable changes to the Cormorant Foraging Framework will be documented in this file.
The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.
- GESA.md — Full specification for Layer ∞ (Generative Episodic Simulated Annealing)
- 8-step optimization loop: OBSERVE → RETRIEVE → GENERATE → ANNEAL → SELECT → ACT → STORE → COOL
- Episode similarity formula with 5 weighted dimensions
- Temperature profiles (Fast Cool, Standard, Slow, Adaptive)
- Three loop invariants, episode schema, candidate scoring
- PHILOSOPHICAL-FOUNDATIONS.md — Epistemological, ontological, and information-theoretic foundations
- Observable anchoring grounded in empiricism, logical positivism, pragmatism
- Structural realism, natural kinds analysis, embodied cognition
- Shannon entropy and Kolmogorov complexity perspectives
- Ethics of transparency and autonomy
- COMPARATIVE-ANALYSIS.md — Cross-dimensional validation and scoring methodology comparison
- Worked examples for additive, multiplicative, and exponential scoring
- Design independence evidence across production systems
- Mathematical model comparison and dimensional independence tests
- README.md — Major rewrite for v2.0.0
- Subtitle: "Three-Dimensional Taxonomy" → "Multi-Layered Architecture"
- Abstract expanded to include GESA and the complete stack
- Added complete ASCII stack diagram (3D → DRIFT → Fetch → GESA)
- Added Layer ∞ GESA section
- Updated ecosystem tree with all 5 DOIs
- Added Project Phoenix and StratIQX to Applications
- Updated repository structure to reflect new files
- DERIVED-LAYERS.md — Added GESA as Layer ∞
- Replaced experimental "Potential Layer 3: Adapt" section with full GESA summary
- Added dependency chain diagram showing GESA's relationship to prior layers
- CITATION.cff — Bumped to v2.0.0
- Updated title and abstract to reflect multi-layered architecture
- Added GESA-related keywords (generative-episodic-simulated-annealing, optimization, episodic-memory)
- Added Project Phoenix and Semantic Intent SSOT references
- Updated PACE DOI to latest version
- Initial public release of the Cormorant Foraging Framework
- Complete documentation of the three-dimensional taxonomy (Sound, Space, Time)
- Derived layers documentation (DRIFT and Fetch)
- Empirical validation data from production systems:
- ChirpIQX: 78% prediction accuracy
- PerchIQX: 398 passing tests
- WakeIQX: 85% context retention
- Applications documentation covering:
- PACE Pattern (DOI: 10.5281/zenodo.18049371)
- 6D Foraging Methodology (DOI: 10.5281/zenodo.18209946)
- HEAT Framework
- PlayIQX, BrowserLLM implementations
- Citation metadata (CITATION.cff) with references to related works
- Creative Commons Attribution 4.0 International license
- Observable anchoring: Every measurement ties to detectable physical properties
- No speculation: Excludes predictions, intent, and normative judgments
- Clean layering: Each layer has single responsibility with clear dependencies
- No circular dependencies: Feedback returns to Layer 0 for re-sensing
- Emergent discovery: Patterns found, not forced
- ChirpIQX (Sound): Fantasy sports intelligence via MCP server
- PerchIQX (Space): Database schema intelligence for Cloudflare D1
- WakeIQX (Time): Temporal context continuity management
For the latest version, visit cormorantforaging.dev