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Artificial Intelligence Agents in the Knowledge Databases of Onboard Real-Time Advisory Expert Systems for the Typical Situations of the Functioning of an Anthropocentric Object

  • ARTIFICIAL INTELLIGENCE
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Journal of Computer and Systems Sciences International Aims and scope

Abstract

When developing the intelligence support systems designed for the crew of anthropocentric objects that recommend a method of solving the arising tactical-level problem for the crew (real-time targeting + construction of a method for attaining a real-time assigned target of functioning), it is extremely important to adequately understand the subject domain of the database of such systems. One way to accomplish this is to use dynamic fragments of problematic subsituations in a knowledge database with intelligence agents incorporated into them. The general structure of intelligence agents used in the knowledge databases of onboard teal-time advisory expert systems for the typical situations of the functioning of anthropocentric objects is given from the viewpoint of the “Stage” conceptual model of an anthropocentric object. Certain intelligence agents and their use in the knowledge database of a certain onboard real-time advisory expert system for the typical situation of the functioning of anthropocentric objects are considered as an example.

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Authors and Affiliations

  1. State Scientific Research Institute of Aviation Systems, 125319, Moscow, Russia

    B. E. Fedunov

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  1. B. E. Fedunov
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Correspondence to B. E. Fedunov.

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Translated by E. Glushachenkova

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Fedunov, B.E. Artificial Intelligence Agents in the Knowledge Databases of Onboard Real-Time Advisory Expert Systems for the Typical Situations of the Functioning of an Anthropocentric Object. J. Comput. Syst. Sci. Int. 58, 932–944 (2019). https://doi.org/10.1134/S1064230719040051

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  • DOI: https://doi.org/10.1134/S1064230719040051

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