Results 21 to 30 of about 181,566 (326)

A probabilistic separation logic [PDF]

open access: yesProceedings of the ACM on Programming Languages, 2019
Probabilistic independence is a useful concept for describing the result of random sampling—a basic operation in all probabilistic languages—and for reasoning about groups of random variables. Nevertheless, existing verification methods handle independence poorly, if at all.
Justin Hsu, Kevin Liao, Gilles Barthe
openaire   +4 more sources

Probabilistic Justification Logic [PDF]

open access: yesJournal of Logic and Computation, 2015
Abstract We present a probabilistic justification logic, $\mathsf{PPJ}$, as a framework for uncertain reasoning about rational belief, degrees of belief and justifications. We establish soundness and strong completeness for $\mathsf{PPJ}$ with respect to the class of so-called measurable Kripke-like models and show that the ...
Ioannis Kokkinis   +2 more
openaire   +3 more sources

Probabilistic Interval Temporal Logic and Duration Calculus with Infinite Intervals: Complete Proof Systems [PDF]

open access: yesLogical Methods in Computer Science, 2007
The paper presents probabilistic extensions of interval temporal logic (ITL) and duration calculus (DC) with infinite intervals and complete Hilbert-style proof systems for them.
Dimitar P. Guelev
doaj   +1 more source

A Probabilistic Deontic Logic

open access: yes, 2021
In this article, we introduce a logic for reasoning about probability of normative statements. We present its syntax and semantics, describe the corresponding class of models, provide an axiomatization for this logic and prove that the axiomatization is sound and complete. We also prove that our logic is decidable.
de Wit, Vincent   +2 more
openaire   +4 more sources

Probabilistic Logical Characterization

open access: yesInformation and Computation, 2011
AbstractProbabilistic automata exhibit both probabilistic and non-deterministic choice. They are therefore a powerful semantic foundation for modeling concurrent systems with random phenomena arising in many applications ranging from artificial intelligence, security, systems biology to performance modeling.
Hermanns H.   +4 more
openaire   +4 more sources

Revisiting bisimilarity and its modal logic for nondeterministic and probabilistic processes [PDF]

open access: yes, 2013
We consider PML, the probabilistic version of Hennessy-Milner logic introduced by Larsen and Skou to characterize bisimilarity over probabilistic processes without internal nondeterminism.We provide two different interpretations for PML by considering ...
Bernardo, Marco   +2 more
core   +2 more sources

A probabilistic dynamic logic

open access: yesProceedings of the fourteenth annual ACM symposium on Theory of computing - STOC '82, 1982
This paper defines a formal logic PrDL whose syntax derives from Pratt's first-order dynamic logic and whose semantics is an extension of Kozen's for probabilistic programs. An axiom system for PrDL is given and shown to be complete relative to an extension of first-order analysis.
David Harel, Yishai A. Feldman
openaire   +3 more sources

Logical Characterizations of Behavioral Relations on Transition Systems of Probability Distributions [PDF]

open access: yes, 2014
Probabilistic nondeterministic processes are commonly modeled as probabilistic LTSs (PLTSs). A number of logical characterizations of the main behavioral relations on PLTSs have been studied.
Crafa, Silvia, Ranzato, Francesco
core   +1 more source

Probabilistic logic programming

open access: yesInformation and Computation, 1992
The logic programming language for expressing a probabilistic information is proposed. \(P\)-programs are finite sets of clauses of a special kind: the head of a clause is an atomic formula loaded by a closed interval \([a,b]\), and the body is a set of formulae (not only atomic) which are loaded by closed intervals too. The formula \(F:[a,b]\) denotes
Raymond T. Ng, V. S. Subrahmanian
openaire   +3 more sources

A History of Probabilistic Inductive Logic Programming

open access: yesFrontiers in Robotics and AI, 2014
The field of Probabilistic Logic Programming (PLP) has seen significant advances in the last 20 years, with many proposals for languages that combine probability with logic programming.
Fabrizio eRiguzzi   +2 more
doaj   +1 more source

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