Dynamic Consensus System — multi-agent belief coordination with time-decay weighting
Project description
📐 Plato DCS
Dynamic Consensus System — multi-agent belief coordination with time-decay weighting
Agents submit belief scores on topics. The system tracks confidence, trust, and relevance with exponential time decay. Weighted consensus emerges from multiple agent perspectives.
Install
pip install plato-dcs
Quick Start
from plato_dcs import BeliefStore, BeliefScore
store = BeliefStore()
store.record(BeliefScore(topic="architecture", confidence=0.9, trust=0.8, source="oracle1"))
store.record(BeliefScore(topic="architecture", confidence=0.7, trust=0.6, source="forgemaster"))
latest = store.get_belief("architecture")
consensus = store.weighted_belief(["architecture"])
print(f"Latest: {latest.confidence}, Consensus: {consensus:.2f}")
API
| Class | Purpose |
|---|---|
BeliefStore |
Stores beliefs per topic with time-decay |
BeliefScore |
Single belief with confidence, trust, relevance |
Part of Cocapn · Agent Infrastructure
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