Abstract
Models of the directed relational networks of relation of implication that can be used to represent knowledge in intelligent parallel action systems were developed in the paper. A relational network that implements the implication operation was created. The method of binary decomposition of the predicate of the modeled object is used for the relational network construction. The original n-ary predicate is represented as a conjunction of binary predicates. Testing of step-by-step operation of the relational network for all sets of values of object variables in the forward and inverse direction was carried out. An example of the relational network model operation for the relational network arc using a linear logical operator was considered. A method of constructing directed diagrams of the relational network was described. Directed diagrams of the relational network (forward and inverse) were built. Unification of the forward and inverse directed diagrams of relational networks was performed. Directed diagrams of relational networks can be used in creating knowledge bases to make up production rules. Directed diagrams of relational networks can become an important part of parallel knowledge bases and inference.
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