Modeling the Arrows of Time with Causal Multibaker Maps

Why do we remember the past, and plan the future? We introduce a toy model in which to investigate emergent time asymmetries: the causal multibaker maps. These are reversible discrete-time dynamical systems with configurable causal interactions. Imposing a suitable initial condition or "Past Hypothesis", and then coarse-graining, yields a Pearlean locally causal structure. While it is more common to speculate that the other arrows of time arise from the thermodynamic arrow, our model instead takes the causal arrow as fundamental. From it, we obtain the thermodynamic and epistemic arrows of time. The epistemic arrow concerns records, which we define to be systems that encode the state of another system at another time, regardless of the latter system's dynamics. Such records exist of the past, but not of the future. We close with informal discussions of the evolutionary and agential arrows of time, and their relevance to decision theory.

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Publication Details

Journal
Entropy
Published
2024-09-10
DOI
https://doi.org/10.3390/e26090776
Citations
2
Primary Topic
Model Reduction and Neural Networks
Type
article
Field-Weighted Citation Impact
0.56
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article

Modeling the Arrows of Time with Causal Multibaker Maps

Aram Ebtekar, Marcus Hütter
2 citations
Entropy
Model Reduction and Neural Networks
0.56
article

Modeling the Arrows of Time with Causal Multibaker Maps

Aram Ebtekar, Marcus Hütter
article en
2 citations

Abstract

Why do we remember the past, and plan the future? We introduce a toy model in which to investigate emergent time asymmetries: the causal multibaker maps. These are reversible discrete-time dynamical systems with configurable causal interactions. Imposing a suitable initial condition or "Past Hypothesis", and then coarse-graining, yields a Pearlean locally causal structure. While it is more common to speculate that the other arrows of time arise from the thermodynamic arrow, our model instead takes the causal arrow as fundamental. From it, we obtain the thermodynamic and epistemic arrows of time. The epistemic arrow concerns records, which we define to be systems that encode the state of another system at another time, regardless of the latter system's dynamics. Such records exist of the past, but not of the future. We close with informal discussions of the evolutionary and agential arrows of time, and their relevance to decision theory.

EntropyVol. 26(9)
Australian National University (AU), Google DeepMind (United Kingdom) (GB), Google (United Kingdom) (GB)
Openalex Percentile: Top 35%
Model Reduction and Neural Networks
0.56
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