1. Decidable and expressive classes of probabilistic automata
- Author
-
Yue Ben, A. Prasad Sistla, Mahesh Viswanathan, and Rohit Chadha
- Subjects
Discrete mathematics ,General Computer Science ,Computer Networks and Communications ,Computer science ,Applied Mathematics ,EXPTIME ,0102 computer and information sciences ,02 engineering and technology ,01 natural sciences ,Theoretical Computer Science ,Undecidable problem ,Decidability ,Computational Theory and Mathematics ,Regular language ,010201 computation theory & mathematics ,Symbol (programming) ,020204 information systems ,Probabilistic automaton ,0202 electrical engineering, electronic engineering, information engineering ,State (computer science) ,Word (computer architecture) - Abstract
k-Hierarchical probabilistic automata (HPA) are probabilistic automata whose states are partitioned into k + 1 levels such that for any state and input symbol, at most one transition goes to a state at the same level, and others go to higher level states. We show that 1-HPA, with acceptance threshold 1/2 (in the finite and infinite word cases) can recognize non-regular languages, and the non-emptiness and non-universality problems for 1-HPA with threshold 1/2 are decidable in EXPTIME and are PSPACE-hard. We present a new sufficient condition when 1-HPA recognize regular languages. We show that the emptiness problem is undecidable for 2-HPAs.
- Published
- 2019
- Full Text
- View/download PDF