Intelligent Technologies and Tools to Support Hierarchical Research for Justification of Strategic Decisions on Energy Development

  • Aleksei Gennadievich Massel Melentiev Energy Systems Institute of Siberian Branch of the Russian Academy of Sciences
  • Liudmila V. Massel Melentiev Energy Systems Institute of Siberian Branch of Russian Academy of Sciences, Irkutsk
  • Natalya I. Pyatkova Melentiev Energy Systems Institute of Siberian Branch of Russian Academy of Sciences, Irkutsk
Keywords: Hierarchical studies of energy industry, intelligent information technologies, mathematical and semantic modeling, knowledge management, fractal stratified model, intelligent IT-environment, multi-agent systems.

Abstract

The paper is concerned with a general scheme of hierarchical studies aimed at substantiating the energy development. It also considers an approach to integrating the software, information support and intelligent information technologies required for research. The concept of knowledge management is proposed for the semantic integration of data, knowledge and software components. It can also be used as a methodological, fractal approach to knowledge structuring. In addition to a two-level research technology, which integrates semantic and mathematical modeling, and intelligent IT-environment supporting them, including semantic modeling tools and the ability to integrate with traditional software systems, we consider the concepts and content of semantic modeling.

The architecture of a multi-agent intelligent environment (MAIE) is proposed as the development of the IT-environment. It integrates the levels of information analysis (semantic modeling), development and substantiation of decisions (using mathematical modeling), and representation of the proposed decisions. We demonstrate the proposed methodological multi-agent approach to MAIE development; the main components (agents) of MAIE and their scientific prototypes developed under the guidance of the authors are defined.

Published
2020-01-25