MONARC - Method for an Optimised aNAlysis of Risks by @NC3-LU

Building an PD, LGD and EAD Model for Financial Modeling.

This repo consists of the codes used for a paper titled "DISFUNCTIONALITY HAZARD: A RISK-BASED TOOL TO SUPPORT THE RESILIENT DESIGN OF SYSTEMS SUBJECTED TO SINGLE HAZARDS AND MULTIHAZARDS."

Back office of MONARC

Risk Sensitive Value Iteration algorithm and optimized strategies

Method guide of MONARC

🛡️ A comprehensive web application built with Next.js for conducting systematic risk evaluations and root cause analysis. Features multi-step forms for project data collection, potential hazard assessment, immediate and basic cause identification, and corrective action planning.

Official Python SDK for Quesen — the deterministic AI decision engine for autonomous-agent risk evaluation.

Replay-certified self-modification PoC: public-evidence admission gate with generated comparator covers, lower-tail checks, safe/unsafe growth fallback, and target-witness diagnostics.

Official Quesen crewai integration — deterministic A2A risk validation.

Nous: AI coordination engine that extracts commitments from natural language, evaluates risk of being missed, and intervenes when necessary

Risk Sensitive Value Iteration algorithm and optimized strategies

Official Quesen autogen integration — deterministic A2A risk validation.

Quesen — Deterministic AI decision engine for autonomous-agent risk evaluation. Native MCP server + Agent Settlement Protocol (ASP/1.0). Zero-LLM. Same inputs → same output. Live: web-production-30ab5.up.railway.app/mcp

Official Quesen langchain integration — deterministic A2A risk validation.

Official JavaScript / TypeScript SDK for Quesen — the deterministic AI decision engine for autonomous-agent risk evaluation.