Gil+Fuchs

an Israeli computer scientist with a Ph.D. from University of California, Santa Cruz in 2004. At UCSC he researched along with Robert Levinson on [|conceptual graphs] (CGs), and pattern-weight pairs (pws) to represent knowledge for search and planning. Pws were the basic representational entity of Morph III, a self learning pattern-oriented chess program, and were also applied to other board games such as [|Diplomacy]. Patterns are represented as conceptual position graphs, the edges being attack relationships and the nodes being pieces and important squares. Pattern weights are adjusted by temporal-difference learning in self-play, in which each pattern has its own learning rate set by simulated annealing (i.e., the more frequently a pattern is updated, the slower becomes its learning rate). Morph evaluates a position by combining the weights of all matched patterns into a single evaluation function score, and performs only a one-ply search. || toc =Selected Publications=
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 * [[image:GilEFuchs.jpg width="192" height="192" link="https://www.facebook.com/gil.fuchs"]] ||~  || **Gil E. Fuchs**,
 * Gil Fuchs ||~  ||^   ||
 * Robert Levinson, Gil Fuchs (**1994**). //A Pattern-Weight Formulation of Search Knowledge//. UCSC-CRL-94-10, [|CiteSeerX]
 * Gil Fuchs, Robert Levinson (**1997**). //[|The CG Mars Lander]//. [|ICCS 1997]
 * Robert Levinson, Gil Fuchs (**2001**). //[|A Pattern-Weight Formulation of Search Knowledge]//. [|Computational Intelligence], Vol. 17, No. 4
 * Ari Shapiro, Gil Fuchs, Robert Levinson (**2002**). //[|Learning a Game Strategy Using Pattern-Weights and Self-play]//. CG 2002, [|pdf]

=External Links=
 * [|Gil Fuchs | LinkedIn]
 * [|Gil E. Fuchs | Facebook]

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