In this paper we extend the model of program variables from the Refinement Calculus [2] in order to be able to reason more algebraically about recursive procedures with parameter...
We present a propositional logic to reason about the uncertainty of events, where the uncertainty is modeled by a set of probability measures assigning an interval of probability ...
: This paper describes a system, which integrates Neural Network (NN) models into adaptation circle of Case-based Reasoning (CBR) system. Neural Network supported adaptation can pr...
A logic for reasoning about states of basic quantum imperative programs is presented. The models of the logic are ensembles obtained by attaching probabilities to pairs of quantum...
Abstract. Constraints and preferences are ubiquitous in real-life. Moreover, preferences can be of many kinds: qualitative, quantitative, conditional, positive or negative, to name...