Modeling & XAI
Model complex use cases, combine LLMs with knowledge graphs/rules for traceability, validate via simulation and field tests.
Model complex use cases, combine LLMs with knowledge graphs/rules for traceability, validate via simulation and field tests.
Define architecture and roadmap, clarify ownership, foster review culture. Move from prototype to stable service (APIs, tests, CI/CD).
Cognitive multi‑agent systems with human‑in‑the‑loop: intention inference, cooperation/competition, decisions under uncertainty and time pressure. Goal: adaptive, explainable agents.
Converted statutory text into a knowledge graph to make decisions reviewable and explainable.
Human‑Machine Intelligence, Constructive Cognitive Science.
Shiny dashboard with context, checks, and audit trail.
Formalization, decisions, forecasting for product teams.