Struct StochasticPhiEngine 

pub struct StochasticPhiEngine { /* private fields */ }

Stochastic Φ approximation via random partition sampling.

Samples random bipartitions and tracks the minimum information loss. Runs in O(k · n²) where k is the sample count.

Implementations

impl StochasticPhiEngine

pub fn new(samples: u64, seed: u64) -> Self

Trait Implementations

impl PhiEngine for StochasticPhiEngine

fn compute_phi( &self, tpm: &TransitionMatrix, state: Option<usize>, budget: &ComputeBudget, ) -> Result<PhiResult, ConsciousnessError>

Compute Φ for the given transition probability matrix.

fn algorithm(&self) -> PhiAlgorithm

Return the algorithm identifier.

fn estimate_cost(&self, n: usize) -> u64

Estimate computational cost without performing the computation.