Development of swarm behavior in artificial learning agents that adapt to different foraging environments
Fig 21
Violin plots that represent the Akaike weights obtained for each model.
(a) Akaike weights of trajectories of agents trained with dF = 21 (aligned swarms). (b) Akaike weights of trajectories of agents trained with dF = 4 (cohesive swarms). 600 individual trajectories —per type of swarm— were analyzed for each plot. The ‘•’ symbol represents the median and the vertical lines indicate the range of values in the data sample (e.g. PL model in figure (a) has extreme values of 0 and 1). Shaded regions form a smoothed histogram of the data (e.g. the majority of Akaike weights of the CCRW model in figure (a) have value 1, and there are no values between 0.2 and 0.8). See text for more details.