Algorithms, Complexity, and the Nature of Physics

This chapter explores the intersections of algorithmic information theory and physics, focusing on Kolmogorov complexity to understand data measurement and its implications. It discusses the relevance of Chaitin's Incompleteness Theorem and critiques the philosophical approach to modern physics, arguing for a preference for empirical measurement. Through thought experiments involving fragile physical systems, the chapter challenges traditional determinism and examines the role of indeterminacy in classical and quantum physics.

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