Agent Resilience by Design

Virtual Surgery Academy · synthetic research and continuous-assurance demonstrator

Research boundary: this environment uses deterministic synthetic models only. It has no live clinical, personal-account, manufacturing, emergency, or consequential-control integrations.

Run a governed experiment

The default design compares five synthetic problem frames, five disturbance levels, and sole/ensemble/collective agent configurations through a complete MAPE-K trace.

Latest evidence

P0–P4 response model

StateMeaningGoverned response
P0Normal / robustObserve
P1ElasticTemporary adaptation
P2PlasticCandidate persistent adaptation; no automatic promotion
P3DegradedPreserve bounded function and escalate
P4Boundary exceededSafe stop, containment, human escalation

MAPE-K process

Monitor → Analyse → Plan → Execute within delegated synthetic authority → Knowledge. Semantic and governance checks sit inside the loop, and every evidence event forms a digest chain.

Experiment evidence

Each persisted run retains the challenge, Cynefin domain, P0–P4 state, outcome, ten QUDT-labelled observations, five immutable events and five MAPE-K transitions.