Dynamics

Dynamics

MindFry’s dynamics module handles time-based processes: decay and propagation.

Decay Engine

The Decay Engine reduces lineage energy over time.

Formula

E(t) = E₀ × e^(-λt)

where:
  E₀ = initial energy
  λ  = decay coefficient (default: 0.001/tick)
  t  = time since last access

Lazy Evaluation

Decay is lazy — computed only when accessed:

fn compute_decay(&self, lineage: &mut Lineage, now: u64) {
    let elapsed = now - lineage.accessed_at;
    let decay_factor = (-self.lambda * elapsed as f32).exp();
    lineage.energy *= decay_factor;
    lineage.accessed_at = now;
}

Benefit: Zero CPU cost for dormant memories.

Synapse Engine

The Synapse Engine propagates energy through bonds.

Cascade Formula

δ_target = δ_source × strength × polarity × damping

Parameter	Default	Description
strength	0.0-1.0	Bond intensity
polarity	+1/0/-1	Synergy/Neutral/Antagonism
damping	0.5	50% loss per hop

Blast Radius

With 50% damping, propagation is limited:

Hop	Energy Remaining
1	50%
2	25%
3	12.5%
4+	< 7% (negligible)

This prevents runaway activation cascades.

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See Persistence for storage layer details.