Abstract
The article examines issues of modeling computation processes that help assess the probable capabilities of the software used to negatively affect the operation of various types of human-machine systems, including those with artifi cial intelligence. Given its aggresive behavior, a numerical experiment analyzed software that provides intelligent support to assistant robots for teaching staff and implements certain functions in the smart home’s computation complex. The experiment’s fi ndings raise a number of issues, which are discussed. The study demonstrates an approach for highlighting a set of machine programming language statements capable of producing general and special software bugs that affect the information environment and appropriate operation of smart home components. Guidelines for grouping a set of aggressive properties are given based on the specifi cs of the software in use.
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