An Intelligent Assistant for Decision Support in the Case of Aircraft Troubleshooting

One of the trends in the development of information technologies and artificial intelligence is intelligent assistants in the form of chatbots or voice assistants, which are actively beginning to be implemented in various domains. In this paper, the modeling and software implementation of a chatbot to support technical personnel in diagnosing aircraft malfunctions are considered. The models of the dialog, elements of the knowledge base implementation, as well as an example of its operation, are described. The constructed models are considered as content ontological patterns and describe the object of the study, the malfunction, and the relationships between the signs of the malfunction and its causes. These templates are used in the design of a knowledge base, containing logical rules presented in the form of decision tables of a special type. The novelty of the proposed solution is the use as a methodological basis of the principles of model-driven development in the context of creating problem-specific virtual assistants.