Publikation: Explaining emergent behavior in a swarm system based on an inversion of the fluctuation theorem
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ECAL 2011 : The 11th European Conference on Artificial Life. Cambridge, Massachusetts: MIT Press, 2011, 48. Available under: doi: 10.7551/978-0-262-29714-1-ch048
Zusammenfassung
A grand challenge in the field of artificial life is to find a general theory of emergent self-organizing systems. In this paper we try to explain the emergent behavior of a simulated swarm by applying methods based on the fluctuation theorem. Empirical results indicate that the swarm is able to produce negative entropy within an isolated sub-system due to ‘frozen accidents’. Individuals of the swarm are able to locally detect fluctuations of the global entropy measure and store them, if they are negative entropy productions. By accumulating these stored fluctuations over time the swarm as a whole is producing negative entropy and the system ends up in an ordered state. We claim that this indicates the existence of an inverted fluctuation theorem for emergent self-organizing dissipative systems. This approach bears the potential of general applicability.
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ECAL 2011: The 11th European Conference on Artificial Life, 8. Aug. 2011 - 12. Aug. 2011, Paris, France
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HAMANN, Heiko, Thomas SCHMICKL, Karl CRAILSHEIM, 2011. Explaining emergent behavior in a swarm system based on an inversion of the fluctuation theorem. ECAL 2011: The 11th European Conference on Artificial Life. Paris, France, 8. Aug. 2011 - 12. Aug. 2011. In: ECAL 2011 : The 11th European Conference on Artificial Life. Cambridge, Massachusetts: MIT Press, 2011, 48. Available under: doi: 10.7551/978-0-262-29714-1-ch048BibTex
@inproceedings{Hamann2011-08-01Expla-59917,
year={2011},
doi={10.7551/978-0-262-29714-1-ch048},
title={Explaining emergent behavior in a swarm system based on an inversion of the fluctuation theorem},
url={https://direct.mit.edu/isal/proceedings/ecal2011/48/111092},
publisher={MIT Press},
address={Cambridge, Massachusetts},
booktitle={ECAL 2011 : The 11th European Conference on Artificial Life},
author={Hamann, Heiko and Schmickl, Thomas and Crailsheim, Karl},
note={Article Number: 48}
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<dcterms:abstract xml:lang="eng">A grand challenge in the field of artificial life is to find a general theory of emergent self-organizing systems. In this paper we try to explain the emergent behavior of a simulated swarm by applying methods based on the fluctuation theorem. Empirical results indicate that the swarm is able to produce negative entropy within an isolated sub-system due to ‘frozen accidents’. Individuals of the swarm are able to locally detect fluctuations of the global entropy measure and store them, if they are negative entropy productions. By accumulating these stored fluctuations over time the swarm as a whole is producing negative entropy and the system ends up in an ordered state. We claim that this indicates the existence of an inverted fluctuation theorem for emergent self-organizing dissipative systems. This approach bears the potential of general applicability.</dcterms:abstract>
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2023-01-16
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