Impact of Heterogeneity in Learning Behavior on Multi-Robot Patrol Performance

The author explores how individual learning behavior, particularly latent inhibition, can impact the effectiveness of multi-robot patrols in dynamic environments. By introducing heterogeneity in learning traits, the study aims to optimize collective performance.