Nikolaj Horsevad

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About

Nikolaj Horsevad is a researcher at the intersection of collective animal behavior, swarm robotics, and complex systems. His work explores how simple local interactions give rise to sophisticated group-level intelligence, with a particular focus on the mechanisms of information spread and collective decision-making. Horsevad’s most influential paper, “Transition from simple to complex contagion in collective decision-making” (41 citations), reveals a critical phase shift in how behaviors propagate through social networks—a finding with profound implications for understanding consensus in animal groups and designing more effective swarms of robots. In “Beyond Bio-Inspired Robotics” (12 citations), he argues for a reciprocal relationship between robotics and biology, showing how multi-robot systems can serve as experimental platforms to test theories of collective animal behavior under controlled conditions. His forward-looking work “Adaptivity: a path towards general swarm intelligence?” (12 citations) charts a course toward more flexible, adaptive swarm systems capable of tackling diverse real-world challenges. By bridging empirical biology and engineered systems, Horsevad is helping to build a unified science of collective behavior that spans the natural and artificial worlds.