Relative Entropy, Probabilistic Inference and AI

John E. Shore

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arXiv · 1304.3423

Relative Entropy, Probabilistic Inference and AI

John E. Shore

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Abstract

Various properties of relative entropy have led to its widespread use in information theory. These properties suggest that relative entropy has a role to play in systems that attempt to perform inference in terms of probability distributions. In this paper, I will review some basic properties of relative entropy as well as its role in probabilistic inference. I will also mention briefly a few existing and potential applications of relative entropy to so-called artificial intelligence (AI).

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John E. Shore. 2013-03-27. Relative Entropy, Probabilistic Inference and AI. https://arxiv.org/abs/1304.3423

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