On probabilistic analog automata
Asa Ben‐Hur, Alexander Roitershtein, Hava T. Siegelmann · arXiv (Cornell University) · 2003
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.