Inspired by Honeybee waggle dance (distributed signal competition)

Waggle Convergence

Counterpart to Weighted averages / ensembles

An evidence mesh that reads structure instead of scores: convergence, tension, and commitment readiness across agreeing and contradicting signals.

benchmarked

Specimen. Apis mellifera · waggle dance

Key properties

01Evidence Mesh: typed evidence topology with reinforcement, contradiction, correlation, and sequence edges

02Structural reads instead of scores: convergence ratio, tension ratio, commitment readiness with fragility

03DomainSpace trait: consumer defines content, modality, and direction; mesh manages topology

04Age-accelerated decay: evidence and edge weights decay per tick; stale evidence is evicted

05Independent reinforcement bonus: uncorrelated sources strengthen evidence more than correlated ones

06Bridge detection: structurally important evidence connecting clusters resists eviction

07Commitment fragility: measures whether convergence survives removal of marginal evidence

Operation complexity

Side-by-side with the classical counterpart.

Operation	Waggle Convergence	Weighted averages / ensembles
deposit	O(W)	O(1)
reinforce	O(1)	N/A
convergence	O(n)	N/A
tension	O(E)	N/A
commitment_readiness	O(n + E)	N/A
tick (maintenance)	O(n + E)	N/A

Interface preview

pub struct EvidenceMesh<D: DomainSpace> { /* internal */ }

impl<D: DomainSpace> EvidenceMesh<D> {
    pub fn new(config: MeshConfig) -> Self;
    pub fn register_source(&mut self, source: Source);

    pub fn deposit(&mut self, source: SourceId, content: D::Content,
        modality: D::Modality, initial_strength: f32) -> EvidenceId;
    pub fn reinforce(&mut self, evidence_id: EvidenceId, source: &SourceId) -> bool;

    pub fn convergence(&self) -> ConvergenceReport<D>;
    pub fn tension(&self) -> TensionReport;
    pub fn commitment_readiness(&self) -> CommitmentReport<D>;

    pub fn tick(&mut self) -> TickReport;
}

Where this matters

HoneyScouter · Signal Fusion Engine

Today	With Waggle Convergence	How
Static weighted average of analyst signals	Topology-aware convergence with contradiction structure	Evidence Mesh tracks agreement, contradiction, and correlation between signals; commitment readiness replaces threshold-based triggering
Equal treatment of correlated and independent signals	Independence bonus for uncorrelated sources	Mesh tracks source correlation partners and weights independent reinforcement higher
No visibility into signal disagreement	Tension reads expose contradiction clusters	Contradiction edges form typed subgraph with cluster detection

Interactive simulation

Site A

Site B

Site C

■ mesh share (independence-weighted) ■ plain sum

Field notes

Scouts are leaving the hive…

Mesh leader: Site A
Plain-sum leader: Site A
Convergence: 0.00
Tension: 0.00
Fragile: no
Commitment: not yet

Tick 0 / 300Teaching model · 6 scouts · scouts 5 and 6 are correlated · decay 0.97 per tick

Figure. Evidence Mesh at tick 0 of 300. Teaching model · 6 scouts · scouts 5 and 6 are correlated · decay 0.97 per tick.

Illustrative simulation, not a benchmark · Mutuus Research, ByteQuilt

Discussion