Development of swarm behavior in artificial learning agents that adapt to different foraging environments

@article{LpezIncera2020DevelopmentOS,
  title={Development of swarm behavior in artificial learning agents that adapt to different foraging environments},
  author={Andrea L{\'o}pez-Incera and Katja Ried and Thomas M{\"u}ller and Hans J. Briegel},
  journal={PloS one},
  year={2020},
  volume={15 12},
  pages={
          e0243628
        }
}
Collective behavior, and swarm formation in particular, has been studied from several perspectives within a large variety of fields, ranging from biology to physics. In this work, we apply Projective Simulation to model each individual as an artificial learning agent that interacts with its neighbors and surroundings in order to make decisions and learn from them. Within a reinforcement learning framework, we discuss one-dimensional learning scenarios where agents need to get to food resources… 
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