On probabilistic analog automata
A. Ben-Hur, A. Roitershtein, H. Siegelmann
Abstract
We consider probabilistic automata on a general state space and study their computational power. The model is based on the concept of language recognition by probabilistic automata due to Rabin and models of analog computation in a noisy environment suggested by Maass and Orponen, and Maass and Sontag. Our main result is a generalization of Rabin's reduction theorem that implies that under very mild conditions, the computational power of the automaton is limited to regular languages.
Create a lesson
Related papers
Circular Economy Synergies and Trade-offs in Data Centres
Vlad C. Coroamă, Oana Dumbravă
Warfare
Nathan Reitinger
Collaborative System Failure Prognostics via Federated Longitudinal-Survival Modeling
Fan Yang, Madelyn Weller, Dimuthu Fernando et al.
Interactive Extraction of High-Frequency Aesthetically-Coherent Colormaps
Santiago V. Lombeyda, Mathieu Desbrun
Digital Twin Modeling of a Highly Automated Agricultural Tractor
Clay Hallman, Lukas Pindl, Timo Oksanen
Risk-based Design for Sustainability in Cloud Systems: Insights from an Experts' Survey
Maria Voreakou, Cleopatra Bardaki, George Kousiouris et al.