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About

Pattie Maes is a pioneering researcher in artificial intelligence, autonomous agents, and human-computer interaction. Her foundational work on behavior-based AI and distributed agent architectures has shaped modern robotics and intelligent systems. In her seminal paper "Designing autonomous agents" (804 citations), she introduced frameworks for creating agents that can operate in complex, dynamic environments without centralized control. Her "Learning to coordinate behaviors" (364 citations) presented a distributed algorithm enabling robots to learn behavioral coordination from feedback, a key contribution to adaptive robotics. Maes also developed the Agent Network Architecture (ANA) (171 citations), a spreading activation network for autonomous decision-making. Her work extends to human-robot interaction, including the LuminAR system (90 citations), a portable projector-camera system, and "Living Bits" (71 citations), exploring microbial integration with computing. Notable achievements include her role in lunar base construction robotics (133 citations) and ethologically-inspired foraging systems. With over 1,800 total citations across her top papers, Maes' research continues to influence AI, robotics, and interactive systems, demonstrating how distributed, behavior-based approaches can create more robust and adaptive intelligent agents.