exo-core

Core traits and types for the EXO-AI cognitive substrate. Provides IIT (Integrated Information Theory) consciousness measurement and Landauer thermodynamics primitives that every other EXO crate builds upon.

Features

SubstrateBackend trait -- unified interface for pluggable compute backends (classical, quantum, hybrid).
IIT Phi measurement -- quantifies integrated information across cognitive graph partitions.
Landauer free energy tracking -- monitors thermodynamic cost of irreversible bit erasure during inference.
Coherence routing -- directs information flow to maximise substrate coherence scores.
Plasticity engine (SONA EWC++) -- continual learning with elastic weight consolidation to prevent catastrophic forgetting.
Genomic integration -- encodes and decodes cognitive parameters as compact genomic sequences for evolution-based search.

Quick Start

Add the dependency to your Cargo.toml:

[dependencies]
exo-core = "0.1"

Basic usage:

use exo_core::consciousness::{ConsciousnessSubstrate, IITConfig};
use exo_core::thermodynamics::CognitiveThermometer;

// Measure integrated information (Phi)
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);
println!("Landauer cost for 1024 bits: {:.6} kT", cost);

Crate Layout

Module	Purpose
`backend`	SubstrateBackend trait and helpers
`iit`	Phi computation and partition analysis
`thermo`	Landauer energy and entropy bookkeeping
`coherence`	Routing and coherence scoring
`plasticity`	SONA EWC++ continual-learning engine
`genomic`	Genome encoding / decoding utilities

Requirements

Rust 1.78+
No required system dependencies

License

MIT OR Apache-2.0