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Article overview
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The thermodynamics of prediction | | Susanne Still
; David A. Sivak
; Anthony J. Bell
; Gavin E. Crooks
; | | Date: |
15 Mar 2012 | | Abstract: | A system responding to a stochastic driving signal can be interpreted as
computing, by means of its dynamics, an (implicit) model of the environmental
variables. The system’s state retains information about past environmental
fluctuations, and a fraction of this information is predictive of future ones.
The remaining nonpredictive information reflects model complexity that does not
improve predictive power, and represents the ineffectiveness of the model. We
expose the fundamental equivalence between this model inefficiency and
thermodynamic inefficiency, measured by the energy dissipated during the
interaction between system and environment. Our results hold arbitrarily far
from thermodynamic equilibrium and are applicable to a wide range of systems,
including biomolecular machines. They highlight a profound connection between
the effective use of information and efficient thermodynamic operation: any
system constructed to keep memory about its environment and to operate
energetically efficiently has to be predictive. | | Source: | arXiv, 1203.3271 | | Services: | Forum | Review | PDF | Favorites | |
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