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Enumerating Finitary Processes.

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Peer-reviewed

Repository DOI


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Abstract

We show how to efficiently enumerate a class of finite-memory stochastic processes using the causal representation of ϵ-machines. We characterize ϵ-machines in the language of automata theory and adapt a recent algorithm for generating accessible deterministic finite automata, pruning this over-large class down to that of ϵ-machines. As an application, we exactly enumerate topological ϵ-machines up to eight states and six-letter alphabets.

Description

Peer reviewed: True


Acknowledgements: C.S.M. thanks Fred Annexstein for originally pointing out Read’s algorithm.


Publication status: Published


Funder: NSF VIGRE graduate fellowship


Funder: NSF REU internship at the Santa Fe Institute


Funder: DOE GAANN graduate fellowship

Journal Title

Entropy (Basel)

Conference Name

Journal ISSN

1099-4300
1099-4300

Volume Title

26

Publisher

MDPI

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Except where otherwised noted, this item's license is described as https://creativecommons.org/licenses/by/4.0/
Sponsorship
Defense Advanced Research Projects Agency (DARPA) Physical Intelligence Subcontract (9060-000709)
ARO (W911NF-12-1-0234-0)