Enumerating Finitary Processes.
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Peer-reviewed
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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
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Journal Title
Entropy (Basel)
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Journal ISSN
1099-4300
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)
ARO (W911NF-12-1-0234-0)

