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Algorithmic information theory, a branch of information theory pioneered by Kolmogorov, quantifies the information content of a message based on the shortest algorithm that can generate it. This theory provides a mathematical framework for understanding the complexity and randomness of data, and has applications in fields such as data compression, cryptography, and artificial intelligence.