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Публікація Mobile Expert System for Diagnostic Human State in Emergency Situations(WARSE, 2020) Kuzomin, O.; Dudka, O.; Vasylenko, O.; Shylo, R.; Lyashenko, V.An obligatory stage of any purposeful activity in emergency situations (emergency) is to make decisions on elimination of the emergency consequences and assistance to the victims, and if necessary, their evacuation. Not only the wrong but also the ineffective decisions could lead to human losses or irrational use of financial, labor, environmental, energy and other resources. In this regard, the problem of developing a scientific methodology for making effective decisions is one of the pressing scientific problems. The purpose of the study is to enhance the first “rescue-victim” interaction when the rescuer or doctor asks the patient specific questions to make decisions. The biggest cost is the waste of time, which can be significantly reduced by using a chat bot conversation with emergency victim.Публікація The Patient Organism Modeling for Diagnosis with the Usage of a Multi Agent Representation(WARSE, 2020) Kuzomin, O.; Dudka, O.; Vasylenko, O.; Lyashenko, V.The main ideas for building a multi-agent model of intelligent modeling for diagnosis are offered. The peculiarities of actions in a certain system of medical environment are indicated. The function of a medical agent is defined, which determines the actions that can be used by a medical agent in response to any sequence of acts of perception of medical data and knowledge. The problem of development of the specification of the problem medical agent is considered. The direction of development of the program of the medical agent is shown. Consider the requirements for the creation of reflex medical agents that respond directly to acts of perception. The requirements for the design of target-based agents are also considered.Публікація Using of Ontologies for Building Databases and Knowledge Bases for Consequences Management of Emergency(WARSE, 2020) Kuzomin, O.; Dudka, O.; Vasylenko, O.; Radchenko, V.; Lyashenko, V.The modeling of decision support for emergency consequences management is investigated. The presentation of information of injuries or illnesses of the victim when first examined by a rescuer or doctor is used to establish a diagnosis of the symptoms of the disease or to identify the consequences of the injuries. This approach is used to represent ontological data. The precedent technology for describing emergency response scenarios is presented in this article.