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Evolving Controllers for Programmable Robots to Influence Non-programmable Lifeforms: A Casy Study

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Applications of Evolutionary Computation (EvoApplications 2015)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9028))

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Abstract

In this paper, a decentralized reaction-diffusion-based controller is evolved for a set of robots in an arena interacting with two simulated juvenile bees as non-programmable agents. The bees react to the stimuli that are emitted by the robots. The evolutionary process successfully finds controllers that produce proper patterns which guide the bees towards a number of given targets. The results show a preference of heat as the dominant stimulus causing movement of the bees.

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Notes

  1. 1.

    In this regard, AHHS is similar to Gene Regulatory Networks (GRNs).

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Acknowledgments

This work is supported by: EU-ICT project ‘ASSISI_bf’, no. 601074; Austrian Federal Ministry of Science and Research (BM.W F).

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Authors and Affiliations

  1. Artificial Life Lab of the Department of Zoology, Karl-Franzens University Graz, Universitaetsplatz 2, 8010, Graz, Austria

    Payam Zahadat & Thomas Schmickl

Authors
  1. Payam Zahadat
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  2. Thomas Schmickl
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Corresponding author

Correspondence to Payam Zahadat .

Editor information

Editors and Affiliations

  1. Universidad de Granada, Granada, Spain

    Antonio M. Mora

  2. Politecnico di Torino, Turin, Italy

    Giovanni Squillero

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Zahadat, P., Schmickl, T. (2015). Evolving Controllers for Programmable Robots to Influence Non-programmable Lifeforms: A Casy Study. In: Mora, A., Squillero, G. (eds) Applications of Evolutionary Computation. EvoApplications 2015. Lecture Notes in Computer Science(), vol 9028. Springer, Cham. https://doi.org/10.1007/978-3-319-16549-3_67

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  • DOI: https://doi.org/10.1007/978-3-319-16549-3_67

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-16548-6

  • Online ISBN: 978-3-319-16549-3

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