Solution of the task of controlling a robotic complex using logical neural networks

The intelligent control system of a mobile robot, as a set of production rules, is implemented in the form of a various-valued logical function. In this paper we propose a method for representing various-valued logic function in a logical neural network. This logical neural network will keep the totality of cause-andeffect relationships identified using various-valued logic functions within a given specified area. These logic operations are implemented by special logic neural cells: conjunctors and disjunctors.