Expand description
Quantitative metrics for proving biological computing model correctness.
Computes four categories of proof metrics from colony state:
- Transfer Effect: vocabulary sharing across agents
- Dissolution Effect: boundary modulation reinforces knowledge
- Graph Richness: structural complexity of the knowledge graph
- Vocabulary Spread: how well knowledge propagates
Structs§
- Colony
Metrics - All colony metrics combined.
- Dissolution
Metrics - Dissolution effect metrics — proves boundary modulation reinforces knowledge.
- Graph
Richness Metrics - Graph richness metrics — proves colony builds meaningful structure.
- Transfer
Metrics - Transfer effect metrics — proves vocabulary sharing works.
- Vocabulary
Spread Metrics - Vocabulary spread metrics — proves knowledge propagates across agents.
Functions§
- compute
- Compute all proof metrics from the colony’s current state and history.
- compute_
from_ snapshots - Compute metrics from snapshots (for use when agents may be dead).
- print_
report - Print a formatted metrics report to the terminal.