Evolving Robot Morphology Facilitates the Evolution of Neural Modularity and Evolvability. - Josh C. Bongard; Anton Bernatskiy; Kenneth R. Livingston; Nicholas Livingston; John H. Long Jr.; Marc L. Smith (GECCO, 2015)

Embodiment Effects in Evolutionary Robotics. - Nicholas Livingston; Anton Bernatskiy; Kenneth R. Livingston; Marc L. Smith; Jodi Schwarz; Joshua Clifford Bongard; David Wallach; Evan Altiero; John H. Long Jr. (CogSci, 2016)

Recombination Hotspots Promote the Evolvability of Modular Systems. - Ari Larson; Anton Bernatskiy; Collin Cappelle; Kenneth R. Livingston; Nicholas Livingston; John H. Long Jr.; Jodi Schwarz; Marc L. Smith; Josh C. Bongard (GECCO (Companion), 2016)

Morphological Modularity Can Enable the Evolution of Robot Behavior to Scale Linearly with the Number of Environmental Features. - Collin Cappelle; Anton Bernatskiy; Kenneth R. Livingston; Nicholas Livingston; Josh C. Bongard (Frontiers Robotics AI, 2016)

Modularity and Sparsity: Evolution of Neural Net Controllers in Physically Embodied Robots. - Nicholas Livingston; Anton Bernatskiy; Kenneth R. Livingston; Marc L. Smith; Jodi Schwarz; Josh C. Bongard; David Wallach; John H. Long Jr. (Frontiers Robotics AI, 2016)

Gene Duplication, Modularity, and the Evolution of Intelligence in Simulated and Real Robots. - Nicholas Livingston; Ben K. Tidswell; Meghan Willcoxon; Theresa Law; Gabriel Dell'Accio; Mackenzie Little; John H. Long Jr.; Josh C. Bongard; Kenneth R. Livingston (CogSci, 2018)