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Implements theoretical frameworks for EXO-AI cognitive substrate: - consciousness.rs: Integrated Information Theory (IIT 4.0) Phi measurement - Reentrant architecture detection - Effective information computation - Minimum Information Partition (MIP) finding - Consciousness level classification - thermodynamics.rs: Landauer's Principle tracking - Energy efficiency relative to k_B*T*ln(2) limit - Technology multiplier profiles (CMOS, biological, reversible) - Operation-based bit erasure estimation - Efficiency reports and reversible computing potential Also fixes: - API compatibility issues across workspace crates - Async test attributes in federation tests - Metadata::new() method for test compatibility |
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| .. | ||
| agentic-jujutsu | ||
| exo-ai-2025 | ||
| graph | ||
| nodejs | ||
| refrag-pipeline | ||
| rust | ||
| wasm-react | ||
| wasm-vanilla | ||
| advanced_features.rs | ||
| agenticdb_demo.rs | ||
| gnn_example.rs | ||
| graph-cli-usage.md | ||
| graph_wasm_usage.html | ||