Recently, the issue of solving various tasks in conditions of initial data shortage becomes more relevant. It is related to various problems, but some of them have arisen and continue to arise as a result of the constant Ukraine’s economy cripple during the war with Russian Federation. Currently both countries have entered the “war of attrition” phase. Therefore, there is an objective need to investigate this process and develop strategies, methods and algorithms for adaptation to new conditions, when the initial data base becomes insufficient for tasks solving. Many examples can be given when it is vital to solve tasks under the lack of resources. For example, the distribution of 10 body armor vests among 100 soldiers in a company; treatment the wounded under the medicine’s shortage conditions; solving information tasks when there is a lack of the necessary data. We will investigate information tasks related to computer forensics. When a hacked computer is examined, it is necessary to detect the fact of unauthorized access to the software, as well as analyze in detail its causes and consequences. These tasks have already been largely solved and published. But the researched public
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