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Update to all READMEs for hosted content

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reorganization of so-called historical papers
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Zachary Jones
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artificial_intelligence/README.md
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## Artificial Intelligence
[Analysis of Three Bayesian Network Inference Algorithms:Variable Elimination, Likelihood Weighting, and Gibbs Sampling](https://github.com/papers-we-love/papers-we-love/blob/master/artificial_intelligence/3-bayesian-network-inference-algorithm.pdf) by Rose F. Liu, Rusmin Soetjipto
* [:scroll:](3-bayesian-network-inference-algorithm.pdf) [Analysis of Three Bayesian Network Inference Algorithms:Variable Elimination, Likelihood Weighting, and Gibbs Sampling](https://github.com/papers-we-love/papers-we-love/blob/master/artificial_intelligence/3-bayesian-network-inference-algorithm.pdf) by Rose F. Liu, Rusmin Soetjipto
[Computing Machinery and Intelligence](http://www.csee.umbc.edu/courses/471/papers/turing.pdf) by A.M. Turing
* :scroll: [Efficient Selectivity and Backup Operators in Monte-Carlo Tree Search](efficient-selectivity-and-backup-operators-in-monte-carlo-tree-search.pdf)
[Judea Pearl](http://bayes.cs.ucla.edu/jp_home.html) folder - Papers by Judea Pearl, 2011 winner of the ACM Turing Award.
* [Computing Machinery and Intelligence](http://www.csee.umbc.edu/courses/471/papers/turing.pdf) by A.M. Turing
* [Judea Pearl](http://bayes.cs.ucla.edu/jp_home.html) folder - Papers by Judea Pearl, 2011 winner of the ACM Turing Award.
* [:open_file_folder: Summary of Papers](judea_pearl/)