Suguman Bansal ; Swarat Chaudhuri ; Moshe Y. Vardi - Comparator automata in quantitative verification

lmcs:5050 - Logical Methods in Computer Science, July 29, 2022, Volume 18, Issue 3 -
Comparator automata in quantitative verificationArticle

Authors: Suguman Bansal ; Swarat Chaudhuri ; Moshe Y. Vardi

    The notion of comparison between system runs is fundamental in formal verification. This concept is implicitly present in the verification of qualitative systems, and is more pronounced in the verification of quantitative systems. In this work, we identify a novel mode of comparison in quantitative systems: the online comparison of the aggregate values of two sequences of quantitative weights. This notion is embodied by comparator automata (comparators, in short), a new class of automata that read two infinite sequences of weights synchronously and relate their aggregate values. We show that aggregate functions that can be represented with Büchi automaton result in comparators that are finite-state and accept by the Büchi condition as well. Such $\omega$-regular comparators further lead to generic algorithms for a number of well-studied problems, including the quantitative inclusion and winning strategies in quantitative graph games with incomplete information, as well as related non-decision problems, such as obtaining a finite representation of all counterexamples in the quantitative inclusion problem. We study comparators for two aggregate functions: discounted-sum and limit-average. We prove that the discounted-sum comparator is $\omega$-regular iff the discount-factor is an integer. Not every aggregate function, however, has an $\omega$-regular comparator. Specifically, we show that the language of sequence-pairs for which limit-average aggregates exist is neither $\omega$-regular nor $\omega$-context-free. Given this result, we introduce the notion of prefix-average as a relaxation of limit-average aggregation, and show that it admits $\omega$-context-free comparators i.e. comparator automata expressed by Büchi pushdown automata.

    Volume: Volume 18, Issue 3
    Published on: July 29, 2022
    Accepted on: June 8, 2022
    Submitted on: December 20, 2018
    Keywords: Computer Science - Formal Languages and Automata Theory,Computer Science - Logic in Computer Science
      Source : OpenAIRE Graph
    • SHF: Medium: Collaborative Research: Formal Analysis and Synthesis of Multiagent Systems with Incentives; Funder: National Science Foundation; Code: 1704883

    7 Documents citing this article

    Consultation statistics

    This page has been seen 1514 times.
    This article's PDF has been downloaded 691 times.