Changes of Problem Representation

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Focusing on enhancing AI problem-solving efficiency, this research introduces a system that automates the process of changing problem representations and selecting suitable search algorithms. It highlights the critical role of representation in determining problem difficulty and efficiency. Unlike previous approaches that relied on user input for algorithm selection, this system integrates multiple algorithms for both problem-solving and representation improvement. The study aims to formalize representation concepts and validate the hypothesis that an effective system comprises three key components: libraries of algorithms and a control module for selection.