Title
A PROBABILISTIC HIGHER-ORDER FIXPOINT LOGIC
Abstract
We introduce PHFL, a probabilistic extension of higher-order fixpoint logic, which can also be regarded as a higher-order extension of probabilistic temporal logics such as PCTL and the mu(p)-calculus. We show that PHFL is strictly more expressive than the mu(p)-calculus, and that the PHFL model-checking problem for finite Markov chains is undecidable even for the mu-only, order-1 fragment of PHFL. Furthermore the full PHFL is far more expressive: we give a translation from Lubarsky's mu-arithmetic to PHFL, which implies that PHFL model checking is Pi(1)(1)-hard and Sigma(1)(1) -hard. As a positive result, we characterize a decidable fragment of the PHFL model-checking problems using a novel type system.
Year
DOI
Venue
2021
10.46298/LMCS-17(4:15)2021
LOGICAL METHODS IN COMPUTER SCIENCE
Keywords
DocType
Volume
Probabilistic logics, higher-order fixpoint logic, model checking
Journal
17
Issue
ISSN
Citations 
4
1860-5974
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Yo Mitani100.34
Naoki Kobayashi2117275.17
Takeshi Tsukada302.03