Charles Hohn

Papers

Total Citations

148

H-Index

About

Charles Hohn is a pioneering researcher in artificial intelligence and evolutionary computation, best known for his foundational work in co-evolving team coordination strategies. His most-cited paper, "Co-evolving Soccer Softbot team coordination with genetic programming" (1998, 148 citations), introduced a groundbreaking approach to using genetic programming for multi-agent systems, specifically applied to robotic soccer. This work demonstrated how evolutionary algorithms could autonomously generate sophisticated, emergent team behaviors without explicit human programming, influencing subsequent research in robotics, game AI, and autonomous systems. Hohn's contributions lie at the intersection of evolutionary robotics and cooperative multi-agent learning, where his methods showed that complex coordination could arise from simple, co-adaptive processes. His research has been widely cited by scholars developing adaptive team strategies in dynamic environments, from simulated soccer to real-world drone swarms. Beyond this seminal paper, Hohn's work has helped shape the field of evolutionary robotics, inspiring further studies on how artificial agents can learn to collaborate through evolutionary pressures. His legacy endures in the continued application of co-evolutionary techniques to problems requiring decentralized, adaptive coordination.