Literature DB >> 19792799

Time's barbed arrow: irreversibility, crypticity, and stored information.

James P Crutchfield1, Christopher J Ellison, John R Mahoney.   

Abstract

We show why the amount of information communicated between the past and future-the excess entropy-is not in general the amount of information stored in the present-the statistical complexity. This is a puzzle, and a long-standing one, since the former describes observed behavior, while optimal prediction requires the latter. We present a closed-form expression for the excess entropy in terms of optimal causal predictors and retrodictors-both machines of computational mechanics. This leads us to two new system invariants: causal irreversibility-the asymmetry between the causal representations-and crypticity-the degree to which a process hides its state information.

Year:  2009        PMID: 19792799     DOI: 10.1103/PhysRevLett.103.094101

Source DB:  PubMed          Journal:  Phys Rev Lett        ISSN: 0031-9007            Impact factor:   9.161


  12 in total

1.  Quantum mechanics can reduce the complexity of classical models.

Authors:  Mile Gu; Karoline Wiesner; Elisabeth Rieper; Vlatko Vedral
Journal:  Nat Commun       Date:  2012-03-27       Impact factor: 14.919

2.  Summarizing Simulation Results using Causally-relevant States.

Authors:  Nidhi Parikh; Madhav Marathe; Samarth Swarup
Journal:  Multiagent Based Simul       Date:  2016-09-24

3.  Time resolution dependence of information measures for spiking neurons: scaling and universality.

Authors:  Sarah E Marzen; Michael R DeWeese; James P Crutchfield
Journal:  Front Comput Neurosci       Date:  2015-08-28       Impact factor: 2.380

4.  Connectivity in the human brain dissociates entropy and complexity of auditory inputs.

Authors:  Samuel A Nastase; Vittorio Iacovella; Ben Davis; Uri Hasson
Journal:  Neuroimage       Date:  2014-12-20       Impact factor: 6.556

5.  Occam's Quantum Strop: Synchronizing and Compressing Classical Cryptic Processes via a Quantum Channel.

Authors:  John R Mahoney; Cina Aghamohammadi; James P Crutchfield
Journal:  Sci Rep       Date:  2016-02-15       Impact factor: 4.379

6.  Experimentally modeling stochastic processes with less memory by the use of a quantum processor.

Authors:  Matthew S Palsson; Mile Gu; Joseph Ho; Howard M Wiseman; Geoff J Pryde
Journal:  Sci Adv       Date:  2017-02-03       Impact factor: 14.136

7.  Interfering trajectories in experimental quantum-enhanced stochastic simulation.

Authors:  Farzad Ghafari; Nora Tischler; Carlo Di Franco; Jayne Thompson; Mile Gu; Geoff J Pryde
Journal:  Nat Commun       Date:  2019-04-09       Impact factor: 14.919

8.  Intrinsic Computation of a Monod-Wyman-Changeux Molecule.

Authors:  Sarah Marzen
Journal:  Entropy (Basel)       Date:  2018-08-11       Impact factor: 2.524

9.  Discrete Information Dynamics with Confidence via the Computational Mechanics Bootstrap: Confidence Sets and Significance Tests for Information-Dynamic Measures.

Authors:  David Darmon
Journal:  Entropy (Basel)       Date:  2020-07-17       Impact factor: 2.524

10.  Information dissipation as an early-warning signal for the Lehman Brothers collapse in financial time series.

Authors:  Rick Quax; Drona Kandhai; Peter M A Sloot
Journal:  Sci Rep       Date:  2013       Impact factor: 4.379

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