Architecture, design patterns, and philosophy behind BehavioralCompute — a 34-engine behavioral AI operating system.
the behavioral AI platform treats behavioral intelligence like an OS: a registry of 34 isolated engines, a control plane scheduler, an event bus, and a governan…
Every engine in the behavioral AI platform self-registers with a metadata object: ID, category, dependencies, compute cost, activation state, and event topics. …
The control plane reads the engine registry, runs a topological sort to produce dependency-ordered execution batches, runs batches in parallel, and collates all…
A score without a confidence measure is just a number. This article explains the propagation formula — base × evidence × stability × completeness × contradictio…
the behavioral AI platform generates causal traces at scoring time — not post-hoc. Each trace contains the full evidence chain, field weights, contributions, an…
Engines in the behavioral AI platform do not call each other. They emit events and subscribe to topics through an in-process bus. This decoupling prevents circu…
Before any engine output reaches a product adapter, the governance wrapper applies a safe-language map, runs harm-detection gates, and sets requiresHumanReview …
With 34 engines all measuring overlapping dimensions of behaviour, semantic drift is inevitable without a shared vocabulary. The behavioral ontology provides ca…