Recursive Thinking

Recursive thinking, the process of iteratively breaking down complex problems into smaller, manageable sub-problems, is a focus of current research across diverse fields. Researchers are exploring how to implement this approach in artificial intelligence, particularly within large language models, using techniques like recursive contemplation and Socratic questioning to improve reasoning capabilities and overcome limitations of single-pass methods. This work aims to enhance the accuracy and robustness of AI systems in tasks requiring complex logical inference, with applications ranging from improved decision-making in games to more reliable question-answering systems. The development of efficient algorithms for recursive processing, such as those based on depth-first search or adapted stratification strategies, is also a key area of investigation.