Abstract
The operational goal setting is the “first control phase” in anthropocentric objects. In terms of the Etap model, this is a change of the typical situation of the current session of the object’s operation. The structure of the operational goal setting is as follows: a priori information: (a) the given sequence of typical situations of the next anthropocentric object’s operation session, which ensures that the task of this session will be accomplished; (b) the set of typical situations describing the counteraction to external threats that can occur in the course of the execution of the session and the set of counteractions to onboard threats that frequently occur on board similar anthropocentric objects. The positive experience gained in using similar anthropocentric objects represented by knowledge matrices with the terms of the linguistic variable for each pair (typical session situation)–(typical situation of a counteraction to a threat), (typical situation of a counteraction to a threat)–(typical session situation). The precedent-based inference mechanism that makes it possible to select an appropriate typical situation and pass it to the object’s crew as the current operational goal. A classification of the threats, types of recommendations for the crew, and the crew’s dialogs with the onboard advisory operational goal setting expert system are described. This paper is a sequel to [1], and some concepts from that paper are repeated here to make it easier to understand.
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Original Russian Text © S.Yu. Zheltov, B.E. Fedunov, 2016, published in Izvestiya Akademii Nauk. Teoriya i Sistemy Upravleniya, 2016, No. 3, pp. 51–65.
The paper is based on the presentations made by the authors at the 17th International Workshop on Computer Science and Information Technologies (CSIT-2015), Rome, Italy.
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Zheltov, S.Y., Fedunov, B.E. Operational goal setting in anthropocentric objects from the viewpoint of the conceptual model called Etap: II. Operation modes of the on-board real-time advisory expert system and its dialog with the crew. J. Comput. Syst. Sci. Int. 55, 380–393 (2016). https://doi.org/10.1134/S1064230716030175
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DOI: https://doi.org/10.1134/S1064230716030175