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About

Maggie Breedy is a leading researcher in the intersection of artificial intelligence, policy management, and human-agent-robot teamwork. Her foundational work on the KAoS policy management framework, detailed in her most-cited paper "New Developments in Ontology-Based Policy Management" (81 citations), pioneered the use of semantically-rich ontological representation and reasoning to specify, analyze, deconflict, and enforce policies across complex systems. This framework has evolved over the past five years, driven by both technological advances and practical needs. Breedy's research extends into the critical domain of human-agent-robot teams, where she has made significant contributions to understanding coordination and joint activity. Her papers "From Tools to Teammates: Joint Activity in Human-Agent-Robot Teams" (34 citations) and "Coordination in Human-Agent-Robot Teamwork" (28 citations) explore the challenges and requirements for successful coordination, demonstrating how the KAoS HART services framework supports multi-team human-robot field exercises. Her work on teamwork-centered autonomy for space applications (19 citations) brings together cutting-edge theory and technologies to extend intelligent robotic systems beyond traditional autonomy-centered approaches.