Development of an expert system and knowledge base using network knowledge representation languages for selecting a computer game

The article presents the development of an expert system and knowledge base aimed at the optimal choice of a computer game. Using network knowledge representation languages, an effective method for analyzing user preferences and features of game genres for personalized recommendations is proposed. The approach provides improved interaction between players and game systems, promoting a more satisfying gaming experience and increased user satisfaction.