Jonathan Nix, faculty member, Visual & Game Programming at The Art Institute of Portland, published an industry article through Cornell University's arXiv in February 2016.
The 14-page paper is titled "Applying Boolean discrete methods in the production of a real-valued probabilistic programming model.” In the paper, Nix explores the application of some notable Boolean methods, namely the Disjunctive Normal Form representation of logic table expansions. He applies them to a real-valued logic model that utilizes quantities on the range [0,1] to produce a probabilistic programming of a game character's logic in mathematical form.
Learn more about his paper by clicking here: http://arxiv.org/find/cs/1/au:+Nix_J/0/1/0/all/0/1
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