Explaining Emergence in a Swarm System Based on an Inversion of the Fluctuation Theorem

Heiko Hamann, Thomas Schmickl, Karl Crailsheim
ECAL 2011 (2011)

Abstract:

  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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