Model Checking Probabilistic Knowledge: A PSPACE Case

Authors

  • Xiaowei Huang University of Oxford
  • Marta Kwiatkowska University of Oxford

DOI:

https://doi.org/10.1609/aaai.v30i1.10122

Abstract

Model checking probabilistic knowledge of memoryful semantics is undecidable, even for a simple formula concerning the reachability of probabilistic knowledge of a single agent. This result suggests that the usual approach of tackling undecidable model checking problems, by finding syntactic restrictions over the logic language, may not suffice. In this paper, we propose to work with an additional restriction that agent's knowledge concerns a special class of atomic propositions. A PSPACE-complete case is identified with this additional restriction, for a logic language combining LTL with limit-sure knowledge of a single agent.

Downloads

Published

2016-03-03

How to Cite

Huang, X., & Kwiatkowska, M. (2016). Model Checking Probabilistic Knowledge: A PSPACE Case. Proceedings of the AAAI Conference on Artificial Intelligence, 30(1). https://doi.org/10.1609/aaai.v30i1.10122

Issue

Section

Technical Papers: Multiagent Systems