exo-core
| Crates.io | exo-core |
| lib.rs | exo-core |
| version | 0.1.0 |
| created_at | 2025-12-02 04:00:08.597475+00 |
| updated_at | 2025-12-02 04:00:08.597475+00 |
| description | Core traits and types for EXO-AI cognitive substrate - IIT consciousness measurement and Landauer thermodynamics |
| homepage | https://ruv.io |
| repository | https://github.com/ruvnet/ruvector |
| max_upload_size | |
| id | 1961115 |
| size | 123,360 |
rUv (ruvnet)
documentation
https://docs.rs/exo-core
README
exo-core
Core traits and types for EXO-AI cognitive substrate - IIT consciousness measurement and Landauer thermodynamics.
Overview
exo-core provides the foundational types and traits for the EXO-AI cognitive substrate:
- IIT Consciousness Measurement: Integrated Information Theory (Φ) computation
- Landauer Thermodynamics: Physical cost of information processing
- Pattern Storage: Core types for cognitive patterns
- Causal Graph: Relationships between cognitive elements
Installation
[dependencies]
exo-core = "0.1"
Usage
use exo_core::consciousness::{ConsciousnessSubstrate, IITConfig};
use exo_core::thermodynamics::CognitiveThermometer;
// Measure integrated information (Φ)
let substrate = ConsciousnessSubstrate::new(IITConfig::default());
substrate.add_pattern(pattern);
let phi = substrate.compute_phi();
// Track computational thermodynamics
let thermo = CognitiveThermometer::new(300.0); // Kelvin
let cost = thermo.landauer_cost_bits(1024);
Links
License
MIT OR Apache-2.0