Cognitive modelling

The collection of articles is devoted to cognitive modeling, encompassing mathematical and computational methods for studying cognitive processes in humans, animals, and artificial agents. Primary focus is given to solving classical problems such as the frame problem, naive world models, knowledge generation, and the making of medically and socially significant decisions. The articles explore computational experiments for testing hypotheses in cognitive and neurocognitive research, including cognitive economics, neuroeconomics, and neuroergonomics. Special attention is paid to the creation of ontologies, scenario forecasting, natural language modeling, and the processing of multimodal information. The collection also investigates cognitive aspects of artificial intelligence, including neural networks, creativity, human-machine interaction, emotional interfaces, and affective computing. It addresses socio-psychological, ethical, and semiotic aspects of creating artificial intelligent systems, as well as modeling reflexive consciousness and cognitive norms within a sociocultural context.