coreason_runtime_rust::execution_plane::lmsr_consensus

Struct ConsensusMetrics

pub struct ConsensusMetrics;

Expand description

Multi-agent consensus divergence metrics.

Zero Waste: all information-theory primitives are delegated to the logp crate (MIT/Apache-2.0). We only write the domain-specific consensus scoring logic that composes these primitives across agent belief vectors.

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impl ConsensusMetrics

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pub fn kl_divergence(p: &[f64], q: &[f64]) -> f64

Compute KL(P || Q) divergence.

Delegates to logp::kl_divergence. Returns 0.0 if inputs are not valid simplex distributions (graceful degradation for agent beliefs that may not be perfectly normalized).

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pub fn jensen_shannon_divergence(beliefs: &[Vec<f64>]) -> f64

Compute pairwise Jensen-Shannon divergence across agent beliefs.

For N agents, computes the average JSD of each agent’s belief against the population mean belief. Uses logp::jensen_shannon_divergence.

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pub fn entropy(distribution: &[f64]) -> f64

Compute Shannon entropy H(P).

Delegates to logp::entropy_nats.

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pub fn consensus_score(agent_beliefs: &HashMap<String, Vec<f64>>) -> Value

Compute overall consensus score across agents.

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impl UnwindSafe for ConsensusMetrics

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