Self Monitoring, Goal Driven Autonomy Agents / 3986
As intelligent systems become a regular part of our everyday lives, robust and safe operation is ever more important. My research focus is to endow agents with the ability to monitor themselves in order to detect when their behavior has exceeded their boundaries. Previously, we have explored different forms of expectations for anomaly detection in agents operating in Real-Time Strategy (RTS) games, as well as dynamic domains involving planning and execution. My current work aims to achieve agents that can reason about and use expectations in both dynamic and partially observable domains, as well as investigating meta-cognitive expectations for detecting anomalies in the agent's own cognitive processes (reasoning, planning, etc) instead of anomalies in the world.