Evez Rqns

Implements a neuromorphic-quantum pipeline for anomaly detection using LIF spike encoding, contextual bandit allocation, and adaptive threshold hot-swapping.

EVEZ RQNS — Neuromorphic-Quantum Sentinel

Self-optimizing anomaly detection pipeline with LIF spike encoding, contextual bandit allocation, and hot-swapping thresholds.

Architecture

SENSE → DESIRE → THINK → PLAN → ACT → LEARN → MODIFY → REFLECT → BECOME

Components

• SensorAgent — LIF neuromorphic spike encoder (SENSE)
• ContextualBanditAgent — Q-learning backend allocation (DESIRE/THINK/PLAN)
• PatchPipeline — Hot-swapping learning feedback (LEARN/MODIFY)
• EventSpine — Append-only immutable event log (REFLECT)
• Orchestrator — Full pipeline wiring (ACT)

Key Formula

poly_c = τ × ω × topo / 2√N

Falsification Principle

One failure shifts thresholds harder than one success. Failures are louder.