Visual reasoning modeling in a functional hybrid intelligent system

Hybrid intelligent systems have been successfully used to solve the problems with high modeling complexity due to combination of multiple methods of simulation of human intellectual activity and compensation of some methods' shortcomings by advantages of the other. Most hybrid intelligent systems are based on the interaction of elements of the symbolic-logical model of knowledge, which limits their opportunities in comparison with the groups of experts, operating character-logical and visual-imaginative knowledge. Modeling of the collective visual-imaginative reasoning is proposed for implementation in a new class of intelligent systems — hybrid intelligent systems with heterogeneous visual field. To implement such reasoning, the formalized model of visual languages, based on the concept of the semiotic system by D. A. Pospelov, and the principles of their combination in the heterogeneous visual field are proposed.