Evolution of Collective Behaviors by Minimizing Surprise

Hamann, Heiko

Evolution of Collective Behaviors by Minimizing Surprise

Files

Hamann_2-1svk1g1idyfn00.pdf(2.14 MB)

Date

2014

Publication type

Contribution to a conference collection

Publication status

Published

Published 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

Abstract

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.

Subject (DDC)

004 Computer Science

Conference

ALIFE 14: The Fourteenth International Conference on the Synthesis and Simulation of Living Systems, Jul 30, 2014 - Aug 2, 2014, New York, NY

Cite This

ISO 690

HAMANN, 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, Jul 30, 2014 - Aug 2, 2014. In: ALIFE 14 : Proceedings of the Fourteenth International Conference on the Synthesis and Simulation of Living Systems. Cambridge, Massachusetts:MIT Press, 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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URL of original publication

https://direct.mit.edu/isal/proceedings/alife2014/26/344/98728

Test date of URL

2023-01-23

Bibliography of Konstanz

No