IMPROVING DECISION-MAKING SYSTEMS BASED ON ARTIFICIAL INTELLIGENCE
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This article analyzes the issues of improving decision-making systems based on artificial intelligence (AI) technologies. The role of machine learning, expert systems, and neural networks in reducing the human factor in the decision-making process, increasing accuracy and efficiency is highlighted. The research results show that decision-making processes in economic, engineering, and social spheres can be optimized by integrating artificial intelligence algorithms. The article also proposes methods for modeling and predicting decisions based on the analysis of existing systems.
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