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Unpublished Paper
Complexity, Parallel Computation and Statistical Physics
Complexity (2006)
  • Jonathan Machta, University of Massachusetts Amherst
Abstract
The intuition that a long history is required for the emergence of complexity in natural systems is formalized using the notion of depth. The depth of a system is defined in terms of the number of parallel computational steps needed to simulate it. Depth provides an objective, irreducible measure of history that is applicable to systems of the kind studied in statistical physics. It is argued that physical complexity cannot occur in the absence of substantial depth and that depth is a useful proxy for physical complexity. The ideas are illustrated for a variety of systems in statistical physics
Disciplines
Publication Date
2006
Comments
Prepublished version downloaded from ArXiv. Published version is located at http://onlinelibrary.wiley.com/doi/10.1002/cplx.20125/abstract
Citation Information
Jonathan Machta. "Complexity, Parallel Computation and Statistical Physics" Complexity (2006)
Available at: http://works.bepress.com/joonathan_machta/17/