Marco Villani

European Centre for Living Technology, University of Modena and Reggio Emilia, Politecnico di Milano

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About

Marco Villani is a researcher whose work sits at the intersection of complex systems, artificial intelligence, and robotics, with a particular focus on Boolean Networks (BNs) as computational models for robot control. His research has systematically explored how Boolean networks can serve as artificial "brains" for autonomous robots, investigating the dynamical properties that emerge when such systems are evolved or trained to perform complex tasks. Among his most notable contributions is a series of studies examining how high-performing BN-controlled robots navigate state spaces, revealing that successful systems exhibit a remarkable balance between robustness — the ability to retain previously learned behaviors — and adaptability, a hallmark of evolvable and complex systems. His 2015 paper on artificially evolved Boolean network robots stands as his most-cited work, accumulating 10 citations, while earlier foundational studies from 2011 to 2013 helped establish the analytical framework for identifying meaningful dynamical structures in artificial brains. Villani's body of work has helped illuminate how principles from complex systems theory translate into practical robotics applications, offering students and researchers a compelling framework for understanding intelligence as an emergent, dynamical phenomenon rather than a product of explicit programming.