where $l$ and $u$ are the lower and upper probability bounds, while $\phi$ and $\psi$ denote propositional logic formulas. For example the following two sentences ...

Abstract: Knowledge representation and inference in AI have been traditionally divided between logic-based and statistical approaches. During the past decade, the rapidly developing area of ...

Ising machines demonstrate significant potential to tackle computationally complex challenges, including combinatorial optimization problems related to logistics, manufacturing, finance, and AI. The ...

Please read #8586 before contributing! Tutorial teaching probabilistic forecasting API in sktime. This one will be larger than other tutorial notebooks, and total read time could be ~20 min.

Logic and probability provide two distinct frameworks for modeling how rational agents ought to draw inferences and learn from the available data in the face of uncertainty. The aim of this conference ...

When is it appropriate to completely reinvent the wheel? To an outsider, that seems to happen a lot in category theory, and probability theory isn’t spared from this treatment. We’ve had a useful ...

Abstract: The Squirrel Prover is a proof assistant designed for the computational verification of cryptographic protocols. It implements a probabilistic logic that captures cryptographic and ...