Constructing an Expert System for Solving Astrophysical Problems Based on the Ontological Approach

The current state of the methods for solving computational problems of mathematical physics and supercomputer systems poses a complicated task for the researcher associated with the choice of numerical methods and a multicore computer architecture for efficiently solving the problem in a reasonable time with the required accuracy. We are developing an intelligent support system for solving mathematical physics problems on supercomputers. The system includes a knowledge base and an expert system based on the ontological representation of numerical methods, computing architectures, and inference rules that connect them. This paper discusses in detail the issues related to the formation of inference rules for solving astrophysical problems. The formalization of these rules is described, and their application for constructing a solution scheme of the problem according to the user’s specification is shown. An example of solving the problem of modeling the spiral instability evolution in a protostellar disk based on the proposed approach is given.