Free-Energy Minimization and the Dark-Room Problem
نویسندگان
چکیده
منابع مشابه
Free-Energy Minimization and the Dark-Room Problem
Recent years have seen the emergence of an important new fundamental theory of brain function. This theory brings information-theoretic, Bayesian, neuroscientific, and machine learning approaches into a single framework whose overarching principle is the minimization of surprise (or, equivalently, the maximization of expectation). The most comprehensive such treatment is the "free-energy minimi...
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An algorithm is derived for inferring a binary vector s given noisy observations of Asmodulo2, where A is a binary matrix. The binary vector is replaced by a vector of probabilities, optimized by free energy minimization. Experiments on the inference of the state of a linear feedback shift register indicate that this algorithm supersedes Meier and Staaelbach's polynomial algorithm. (As + n) mod...
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This paper studies the task of inferring a binary vector s given noisy observations of the binary vector t = As modulo 2, where A is an M N binary matrix. This task arises in correlation attack on a class of stream ciphers and in the decoding of error correcting codes. The unknown binary vector is replaced by a real vector of probabilities that are optimized by variational free energy minimizat...
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ژورنال
عنوان ژورنال: Frontiers in Psychology
سال: 2012
ISSN: 1664-1078
DOI: 10.3389/fpsyg.2012.00130