The Development of an Algorithmic Model of Object Recognition Using Visual and Sound Information Based on Neuro-fuzzy Logic

Abstract

The chapter considers the problem of recognition of visual and sound information by constructing a virtual environment, which allows a qualitatively simple system to carry out experiments and create an algorithmic model of pattern recognition comparable to human capabilities. The aim of the research is to obtain an algorithmic model that can extract from the surrounding world, “meaningful” (visual and sound) objects to link with the relevant lexical concepts which are the atomic building blocks of intelligence. The research is dedicated to the development of machine intelligence with the phased increase in the complexity of the behavioral model of artificial personality (AP), with the goal being experimental research in the problem of artificial intelligence.