Jay Scott

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Jay Scott [1]

Jay J.P. Scott,
an American mathematician with expertise in machine learning who works for The Math Forum at Drexel University in Philadelphia [2]. He maintains the satirist.org websites [3], including Machine Learning in Games, where he describes programs relying on heuristic search algorithms, genetic algorithms, neural networks, and temporal differences. Jay Scott was an early GNU Chess contributor, mentioned as co-author in the ACM 1987 booklet [4]. He is further author of the experimental chess program Kon to study automated learning of search control, which used a breadth-first search and kept the entire tree in memory [5].

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Machine Learning in Games


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