Information Accessibility and Cryptic Processes: Linear Combinations of Causal States
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Information Accessibility and Cryptic Processes: Linear Combinations of Causal States

  • Author(s): Mahoney, John R
  • Ellison, Christopher J
  • Crutchfield, James P
  • et al.
Abstract

We show in detail how to determine the time-reversed representation of a stationary hidden stochastic process from linear combinations of its forward-time $\epsilon$-machine causal states. This also gives a check for the $k$-cryptic expansion recently introduced to explore the temporal range over which internal state information is spread.

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