Fuzzy Logic is a type of artificial intelligence (AI) that's designed to handle uncertainty and imprecision. Fuzzy Logic allows for the representation of vague concepts and the handling of incomplete ...

The term "reasoning" is a familiar metaphor in today's artificial intelligence (AI) technology, often used to describe the verbose outputs generated by so-called reasoning AI models such as OpenAI's ...

Studia Logica: An International Journal for Symbolic Logic, Vol. 43, No. 3 (1984), pp. 203-216 (14 pages) We propose a first order modal logic, the QS4E-logic, obtained by adding to the well-known ...

In a previous article, we explored the Strong Artificial Intelligence Hypothesis, first presenting a low-level description based on the notion of a neural network (bottom-up framework). In this work, ...

The object of this paper is to show how one is able to construct a paraconsistent theory of models that reflects much of the classical one. In other words the aim is to demonstrate that there is a ...

This course introduces the basic concepts of functional verification and model checking, highlighting their importance in modern system designs. It explains different modeling formalisms for ...