Paper gives the concept of latest modification for universal
semantic code, which is considered as a knowledge representation
language and task-solving algorithm in decision-making problems.
Artificial intelligence; human factors; man-machine systems;
coding; level control; correlation methods. The language of
artificial intelligence presupposes an entirely canonized system
of relations between semantics and syntax. The idea of
canonization is based on the resolution of phrase ambiguity. In
natural languages there two kinds of phrase ambiguity, one of
which can be resolved, the other cannot. The first concerns
traditional syntactic problems, the second deals with the new
domain of semantic syntax. As for the first kind of ambiguity
the task consists in automatically establishing all possible
syntactic interpretations of phrases in the natural language.
This is a complicated thing to do. Even more complicated is the
choice of the necessary interpretations. But from this point of
view the second kind of ambigui