Development of swarm behavior in artificial learning agents that adapt to different foraging environments
Fig 5
Learning curves for dF = 4, 10, 21 and dF = 21 for non-interacting (n.i.) agents.
The curve shows the percentage of agents that reach the food source and obtain a reward of R = 1 at each trial. For each task, the average is taken over 20 (independent) ensembles of 60 agents each and the shaded area indicates the standard deviation. Zooming into the initial phase of the learning process, the inset figure shows a faster learning in the task with dF = 10 than in the task with dF = 21. In the case of dF = 21, no agent is able to reach the food source in the first trial, and it takes the interacting agents approx. 200 trials to outperform the n.i. agents.