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Convex language semantics for nondeterministic probabilistic automata

van Heerdt, G; Hsu, J; Ouaknine, J; Silva, A; (2025) Convex language semantics for nondeterministic probabilistic automata. Theoretical Computer Science , 1040 , Article 115191. 10.1016/j.tcs.2025.115191.

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Abstract

We explore language semantics for automata combining probabilistic and nondeterministic behaviors. We first show that there are precisely two natural semantics for probabilistic automata with nondeterminism. For both choices, we show that these automata are strictly more expressive than deterministic probabilistic automata, and we prove that the problem of checking language equivalence is undecidable by reduction from the threshold problem. However, we provide a discounted metric that can be computed to arbitrarily high precision.

Type: Article
Title: Convex language semantics for nondeterministic probabilistic automata
DOI: 10.1016/j.tcs.2025.115191
Publisher version: https://doi.org/10.1016/j.tcs.2025.115191
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/10208673
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