Probabilistic Büchi automata with non-extremal acceptance thresholds

Rohit Chadha, A. Prasad Sistla, Mahesh Viswanathan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper investigates the power of Probabilistic Büchi Automata (PBA) when the threshold probability of acceptance is non-extremal, i.e., is a value strictly between 0 and 1. Many practical randomized algorithms are designed to work under non-extremal threshold probabilities and thus it is important to study power of PBAs for such cases. The paper presents a number of surprising expressiveness and decidability results for PBAs when the threshold probability is non-extremal. Some of these results sharply contrast with the results for extremal threshold probabilities. The paper also presents results for Hierarchical PBAs and for an interesting subclass of them called simple PBAs.

Original languageEnglish (US)
Title of host publicationVerification, Model Checking, and Abstract Interpretation - 12th International Conference, VMCAI 2011, Proceedings
Pages103-117
Number of pages15
DOIs
StatePublished - 2011
Event12th International Conference on Verification, Model Checking, and Abstract Interpretation, VMCAI 2011 - Austin, TX, United States
Duration: Jan 23 2011Jan 25 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6538 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other12th International Conference on Verification, Model Checking, and Abstract Interpretation, VMCAI 2011
Country/TerritoryUnited States
CityAustin, TX
Period1/23/111/25/11

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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