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Evolution of Collective Behaviors by Minimizing Surprisal and by Micro-Macro Links

Published: 11 July 2015 Publication History

Abstract

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References

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E. Bonabeau, M. Dorigo, and G. Theraulaz. Swarm Intelligence: From Natural to Artificial Systems. Oxford Univ. Press, New York, NY, 1999.
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K. Friston. The free-energy principle: a unified brain theory? Nature Reviews Neuroscience, 11(2):127--138, 2010.
[3]
H. Hamann. Space-Time Continuous Models of Swarm Robotics Systems: Supporting Global-to-Local Programming. Springer, Berlin, Germany, 2010.
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H. Hamann. Evolution of collective behaviors by minimizing surprise. In H. Sayama, J. Rieffel, S. Risi, R. Doursat, and H. Lipson, editors, 14th Int. Conf. on the Synthesis and Simulation of Living Systems (ALIFE 2014), pages 344--351. MIT Press, 2014.
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H. Hamann and G. Valentini. Swarm in a fly bottle: Feedback-based analysis of self-organizing temporary lock-ins. In M. Dorigo, M. Birattari, S. Garnier, H. Hamann, M. M. de Oca, C. Solnon, and T. Stützle, editors, Ninth Int. Conf. on Swarm Intelligence (ANTS 2014), volume 8667 of Lecture Notes in Computer Science, pages 170--181. Springer, 2014.
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H. Hamann, G. Valentini, Y. Khaluf, and M. Dorigo. Derivation of a micro-macro link for collective decision-making systems: Uncover network features based on drift measurements. In T. Bartz-Beielstein, editor, 13th International Conference on Parallel Problem Solving from Nature (PPSN 2014), volume 8672 of Lecture Notes in Computer Science, pages 181--190. Springer, 2014.
[7]
T. C. Schelling. Micromotives and macrobehavior. WW Norton & Company, 1978.
[8]
V. Trianni. Evolutionary Swarm Robotics - Evolving Self-Organising Behaviours in Groups of Autonomous Robots, volume 108 of Studies in Computational Intelligence. Springer, Berlin, Germany, 2008.
[9]
H. von Helmholtz. Handbuch der physiologischen Optik. Ludwig Voss, Leipzig, Germany, 1867.

Cited By

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  • (2023)Autonomous Recognition of Collective Motion Behaviours in Robotic Swarms from Video using a Deep Neural Network2023 International Joint Conference on Neural Networks (IJCNN)10.1109/IJCNN54540.2023.10191933(1-8)Online publication date: 18-Jun-2023
  • (2020)How cognitive and environmental constraints influence the reliability of simulated animats in groupsPLOS ONE10.1371/journal.pone.022887915:2(e0228879)Online publication date: 7-Feb-2020
  • (2018)Toward Computational Motivation for Multi-Agent Systems and SwarmsFrontiers in Robotics and AI10.3389/frobt.2018.001345Online publication date: 18-Dec-2018

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cover image ACM Conferences
GECCO Companion '15: Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation
July 2015
1568 pages
ISBN:9781450334884
DOI:10.1145/2739482
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Published: 11 July 2015

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View all
  • (2023)Autonomous Recognition of Collective Motion Behaviours in Robotic Swarms from Video using a Deep Neural Network2023 International Joint Conference on Neural Networks (IJCNN)10.1109/IJCNN54540.2023.10191933(1-8)Online publication date: 18-Jun-2023
  • (2020)How cognitive and environmental constraints influence the reliability of simulated animats in groupsPLOS ONE10.1371/journal.pone.022887915:2(e0228879)Online publication date: 7-Feb-2020
  • (2018)Toward Computational Motivation for Multi-Agent Systems and SwarmsFrontiers in Robotics and AI10.3389/frobt.2018.001345Online publication date: 18-Dec-2018

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