A new method for creating Mivar knowledge bases in tabular-matrix form for ground intelligent vehicle control systems
Dmitry Alekseevich Chuvikov, Dmitry V. Aladin, L E Adamova, Oleg Olegovich Varlamov, V G Osipov · Journal of Physics Conference Series · 2021
Abstract This research presents a methodology for creating mivar knowledge bases in tabular-matrix form for ground intelligent vehicle control systems. At its core, this methodology is kind of instruction for analysts facing the task of formalizing knowledge in a given subject area. The result of this formalization is a “knowledge map” created according to a special proposed template. In the future, this template allows forming a knowledge base for a given subject area in the formalism of bipartite oriented mivar networks. As an example, the subject area of ground-based intelligent vehicle control systems is used as a template. The proposed methodology of knowledge formalization makes it possible to simplify the process of creating models in Wi!Mi “Razumator-Consultant” 2.1 and also to level the probability of logical collisions when designing a knowledge model in the formalism of bipartite oriented mivar networks.