Daniel Polani

Daniel Polani is Professor of Artificial Intelligence at the University of Hertfordshire, leading research in adaptive systems and cognitive architectures. His work integrates information theory with robotics to model intelligent decision-making processes in biological and artificial systems.

Core research themes:

• Information-theoretic foundations of cognition
• Embodied intelligence in robotics
• Intrinsic motivation systems
• Perception-action loop modeling

Recent publications (2023-2025) explore robot learning with Lyapunov stability, decentralized traffic optimization, and information-theoretic analysis of cognitive systems. Research advances principled approaches to AI that mimic biological information processing.