cognitive architectures (cas) are the core of artificial cognitive systems. a ca is supposed to specify the human brain at a level of abstraction suitable for explaining how it achieves the functions of the mind. over the years a number of distinct cas have been proposed by different authors and their limitations and potentials were investigated. these cas are usually classified as symbolic and...

Probability distribution mapping function, which maps multivariate data distribution to the function of one variable, is introduced. Distributionmapping exponent (DME) is something like effective dimensionality of multidimensional space. The method for classification of multivariate data is based on the local estimate of distribution mapping exponent for each point. Distances of all points of a...

We study differentially flat systems, subject to constraints on the input, state and their derivatives. are interested in providing an approximate characterisation of set trajectories satisfying both equations system constraints. The flatness property choice a polynomial parametrisation terms Bézier functions enable finite dimension formulation problem parameter space control points. Such provi...

The paper is devoted to the analysis of discursive dimension standoff between supporters 6th Ukrainian President Volodymyr Zelensky and those his predecessor Petro Poroshenko. This implemented in Internet memes as one forms political satire. Memes can be defined by their goals, frame reference means. practices used aiming at symbolic defamation a opponent electoral base are considered, taking i...

Modifying standard gradient boosting by replacing the embedded weak learner in favor of a strong(er) one, we present SyRBo: Symbolic-Regression Boosting. Experiments over 98 regression datasets show that adding small number stages -- between 2--5 to symbolic regressor, statistically significant improvements can often be attained. We note coding SyRBo on top any regressor is straightforward, and...