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SUMMARY:Bayesian Pattern Ranking for Move Prediction in the Game of Go - D
 avid Stern\, Inference Group\, Cavendish Laboratory
DTSTART:20051005T140000Z
DTEND:20051005T150000Z
UID:TALK4461@talks.cam.ac.uk
CONTACT:Phil Cowans
DESCRIPTION:I will describe a system for predicting the moves of expert Go
  players by pattern matching.  A pattern is defined as an exact arrangemen
 t of stones on the Go board associated with a hypothetical move.  \n\nThe 
 system learns to predict the moves of experts in a two stage process.  Fir
 stly millions of these patterns are automatically harvested from hundreds 
 of thousands of records of Go games.  Secondly these same games are used t
 o learn an urgency value for each of the patterns to enable us to use them
  to select moves.\n\nWe have achieved the best currently published results
  for move prediction in Go\, perfectly predicting 33% of expert moves and 
 ranking 80% of expert moves in the  top 10.\n
LOCATION:Ryle Seminar Room\, Cavendish Laboratory
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