On Macroscopic Complexity and Perceptual Coding

Details On Macroscopic Complexity and Perceptual Coding On Macroscopic Complexity and Perceptual Coding

2010-05-10

arxiv.org/abs/1005.1684v12

Computer Science

Information Theory

Scientific paper

The theoretical limits of 'lossy' data compression algorithms are considered. The complexity of an object as seen by a macroscopic observer is the size of the perceptual code which discards all information that can be lost without altering the perception of the specified observer. The complexity of this macroscopically observed state is the simplest description of any microstate comprising that macrostate. Inference and pattern recognition based on macrostate rather than microstate complexities will take advantage of the complexity of the macroscopic observer to ignore irrelevant noise.

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