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About

Goran Trajkovski is a researcher whose work spans artificial intelligence, intelligent robotics, and multi-agent systems, with a particular focus on how autonomous agents interact, represent their environments, and give rise to complex societal phenomena. His edited volume, *Handbook of Research on Agent-Based Societies: Social and Cultural Interactions* (2009), stands as his most influential contribution, garnering 15 citations for its comprehensive exploration of emergent behaviors in systems involving software agents, robots, and humans. Trajkovski has also made meaningful theoretical contributions through his work on interactivism in AI and robotics, and his nuanced examination of the role of representations in behavior-based robotic systems — a longstanding philosophical challenge in the field. His research on navigational map learning and stress-modulated imitation-based learning through the MASIVE framework reflects a commitment to grounding robotics in cognitively realistic models. Beyond research, Trajkovski demonstrated a passion for undergraduate education, building the Cognitive Agency and Robotics Laboratory (CARoL) at Towson University into a thriving environment for student-driven inquiry. His career reflects a productive integration of theoretical rigor, applied robotics, and dedicated mentorship.