Results 11 to 20 of about 189,472 (279)
Logic + probabilistic programming + causal laws
Probabilistic planning attempts to incorporate stochastic models directly into the planning process, which is the problem of synthesizing a sequence of actions that achieves some objective for a putative agent.
Vaishak Belle
doaj +4 more sources
The paper explores properties of Łukasiewicz mu-calculus, a version of the quantitative/probabilistic modal mu-calculus containing both weak and strong conjunctions and disjunctions from Łukasiewicz (fuzzy) logic. We show that this logic encodes the well-
Matteo Mio, Alex Simpson
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Probabilistic Strategy Logic [PDF]
We introduce Probabilistic Strategy Logic, an extension of Strategy Logic for stochastic systems. The logic has probabilistic terms that allow it to express many standard solution concepts, such as Nash equilibria in randomised strategies, as well as constraints on probabilities, such as independence. We study the model-checking problem for agents with
Aminof, B. +4 more
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Probabilistic logics based on Riesz spaces [PDF]
We introduce a novel real-valued endogenous logic for expressing properties of probabilistic transition systems called Riesz modal logic. The design of the syntax and semantics of this logic is directly inspired by the theory of Riesz spaces, a mature ...
Robert Furber, Radu Mardare, Matteo Mio
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Probabilistic Justification Logic [PDF]
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 ...
Kokkinis, Ioannis +2 more
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Probabilistic Active Control of Structures Using a Probabilistic Fuzzy Logic Controller [PDF]
Because uncertainty is inherent in engineering structures, it is essential to improve the procedures of structural control. The present study focuses on applying a probabilistic fuzzy logic system (PFLS) in active tendons for the covariance response ...
Azadeh Jalali +3 more
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A Probabilistic Temporal Logic with Frequency Operators and Its Model Checking [PDF]
Probabilistic Computation Tree Logic (PCTL) and Continuous Stochastic Logic (CSL) are often used to describe specifications of probabilistic properties for discrete time and continuous time, respectively.
Takashi Tomita +2 more
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A probabilistic separation logic [PDF]
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.
Barthe, Gilles, Hsu, Justin, Liao, Kevin
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Probabilistic Logical Characterization
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
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Probabilistic-Input, Noisy Conjunctive Models for Cognitive Diagnosis
Existing cognitive diagnosis models conceptualize attribute mastery status discretely as either mastery or non-mastery. This study proposes a different conceptualization of attribute mastery as a probabilistic concept, i.e., the probability of mastering ...
Peida Zhan +3 more
doaj +1 more source

