Evolution of Collective Behaviors by Minimizing Surprise

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ALIFE 14 : Proceedings of the Fourteenth International Conference on the Synthesis and Simulation of Living Systems. Cambridge, Massachusetts: MIT Press, 2014, pp. 344-351. Available under: doi: 10.1162/978-0-262-32621-6-ch055
Zusammenfassung

Similarly to evolving controllers for single robots also controllers for groups of robots can be generated by applying evolutionary algorithms. Usually a fitness function rewards desired behavioral features. Here we investigate an alternative method that generates collective behaviors almost only as a by-product. We roughly follow the idea of Helmholtz that perception is a process based on probabilistic inference and evolve an internal model that is supposed to predict the agent’s future perceptions. Separated from this prediction model the agent also evolves a regular controller. Direct selective pressure, however, is only effective on the prediction model by minimizing prediction error (surprise). Our results show that a number of basic collective behaviors emerge by this approach, such as dispersion, aggregation, and flocking. The probability that a certain behavior emerges and also the difficulty of making correct predictions depends on the swarm density. The reported method has potential to be another simple approach to open-ended evolution analogical to the search for novelty.

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ALIFE 14: The Fourteenth International Conference on the Synthesis and Simulation of Living Systems, 30. Juli 2014 - 2. Aug. 2014, New York, NY
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ISO 690HAMANN, Heiko, 2014. Evolution of Collective Behaviors by Minimizing Surprise. ALIFE 14: The Fourteenth International Conference on the Synthesis and Simulation of Living Systems. New York, NY, 30. Juli 2014 - 2. Aug. 2014. In: ALIFE 14 : Proceedings of the Fourteenth International Conference on the Synthesis and Simulation of Living Systems. Cambridge, Massachusetts: MIT Press, 2014, pp. 344-351. Available under: doi: 10.1162/978-0-262-32621-6-ch055
BibTex
@inproceedings{Hamann2014-07-01Evolu-59894,
  year={2014},
  doi={10.1162/978-0-262-32621-6-ch055},
  title={Evolution of Collective Behaviors by Minimizing Surprise},
  url={https://direct.mit.edu/isal/proceedings/alife2014/26/344/98728},
  publisher={MIT Press},
  address={Cambridge, Massachusetts},
  booktitle={ALIFE 14 : Proceedings of the Fourteenth International Conference on the Synthesis and Simulation of Living Systems},
  pages={344--351},
  author={Hamann, Heiko}
}
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