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Self-diagnostics of technical nodes of the automobot in the conditions of incomplete information is based on abduction

Akimov D.   (Moscow Technological University (MIREA) )

Dyatchenkova A.   (Moscow Technological University (MIREA) )

Sachkov V.   (Moscow Technological University (MIREA) )

The article describes the development of a software message bus model to provide the driver with detailed information. A scheme for recognizing the basic linguistic invariants in the interactive mode for the driver of the leading vehicle is proposed with the purpose of technical diagnostics of the autorobots of the column in the native mode and automatic synthesis of the recommended sequence of actions with the possibility of correcting the decision taken. The article defines the requirements for the input parameters of the simulation model, validates the types of agents for processing the control commands of autorobots and makes a management decision for the entire motorcade using intelligent methods based on the situation parameters. The trivial algorithm of the agent's behavior based on the decision-making algorithm and the method of its implementation are developed so that each autobot performs self-diagnostics autonomously, using an on-board computer

Keywords:support for decision-making, column of autorobotes, performed car, self-test, failure, non-situation situations, dialogue sequence, linguistic invariants, cbow, synthesis of messages, detailed information
 

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Citation link:
Akimov D. , Dyatchenkova A. , Sachkov V. Self-diagnostics of technical nodes of the automobot in the conditions of incomplete information is based on abduction // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2018. -№02. -С. 18-24
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