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When an attacker IEM can reduce a target IEM's prediction Is an IEM whose elements (species) are themselves IEMs that can
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Process summing over a population of models to compute both "I p tunneling" machine: a statistical inference.Transition rates between steady states will decrease exponentially as Strictly locally, on mutations that it actually samples. a population of competing genotypesĮvolving under selection and mutation is an IEM that computes an IeĮquivalent to fitness, and whose gradient (I p) acts Prediction power) relate to classical definitions such as mutual Power and "potential information", I p, for latent Sampling-based metrics ("empirical information", Ie, for prediction Maximum entropy bound for optimal inference, and how its Results for describing a statistical inference process, including its I first show how this idea provides useful Power) metric, typically as a function of sampling some iterative Predictions, and whose weights represent an information (prediction Machine (IEM) as a system whose elements represent distinct Statistical inference is the definition of an information evolving That can draw useful links between information theory, evolution and Systems as being actually driven by an information metric? One idea For example, should we think of biological
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Non-trivial questions about how to apply that idea, and whether it hasĪctual predictive value. "information problems"-in a fundamental way. Seems to capture a core aspect of biology-life as a solution to Information theory is an intuitivelyĪttractive way of thinking about biological evolution, because it Potential information and disinformation as signatures of distinctĬlasses of information evolving machines. John Baez, Information geometry, Part 9, Part 10, Part 11, Part 12 and Part 13. John Baez, Diversity, entropy and thermodynamics.