Extended Implicative Relations

The article explores extended implicative relations.Extended implicative relations use extended implication.Extended implication describes: relation, consequence, causation and operation.The article shows that extended implication can serve as a complexity assessment tool.The content of implicative information relations is revealed.Implicative information relations are a type of information relations.Implicative information relations describe statics and dynamics in the information field.Statics is about the relationships between information models and their parts.The dynamics of information implicative relations lie in the relationships between the inputs and outputs of information processes.The dynamics of information implicative relations lie in the relationships between the states of information situations and the states of objects in the information field.The formalism for describing implicate information relations and implicate relations is approximately the same in that case unless coordination and configuration parameters are applied.Implicative operational relations allow the assessment of procedural complexity.The difference between simple and complex implicative relations is shown.Complexity estimates for arguments and operations are shown.Taking into account the coordination and configuration of initial objects or sets allows us to expand the concept of implication and introduce the concept of "morphological implication".Morphological implication is used to describe the transformation operations of a company.The result of morphological implication depends on the relationships between the original sets or configurations.Morphological implication is used in spatial logic.In spatial logic, the results of implicative operations are diverse, since they depend on factors that ordinary logic does not take into account.