• Media type: Text; E-Article; Electronic Conference Proceeding
  • Title: Almost Sure Productivity
  • Contributor: Aguirre, Alejandro [Author]; Barthe, Gilles [Author]; Hsu, Justin [Author]; Silva, Alexandra [Author]
  • Published: Schloss Dagstuhl – Leibniz-Zentrum für Informatik, 2018
  • Language: English
  • DOI: https://doi.org/10.4230/LIPIcs.ICALP.2018.113
  • Keywords: Productivity ; Coinduction ; Probabilistic Programming
  • Origination:
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  • Description: We introduce Almost Sure Productivity (ASP), a probabilistic generalization of the productivity condition for coinductively defined structures. Intuitively, a probabilistic coinductive stream or tree is ASP if it produces infinitely many outputs with probability 1. Formally, we define ASP using a final coalgebra semantics of programs inspired by Kerstan and König. Then, we introduce a core language for probabilistic streams and trees, and provide two approaches to verify ASP: a syntactic sufficient criterion, and a decision procedure by reduction to model{-}checking LTL formulas on probabilistic pushdown automata.
  • Access State: Open Access