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SUMMARY:Artificial intelligence in combinatorial game design - Cameron Bro
 wne\, Queensland University of Technology
DTSTART:20080813T130000Z
DTEND:20080813T140000Z
UID:TALK12985@talks.cam.ac.uk
CONTACT:David MacKay
DESCRIPTION:Many new board games are designed each year\, ranging from the
  unplayable to the truly exceptional. For each successful design there are
  untold numbers of failures\; game design is something of an art. Players 
 generally agree on some basic properties that indicate the quality\nand vi
 ability of a game\, however these properties have remained subjective and 
 open to interpretation.\n\nThis talk summarises my recent PhD studies in w
 hich a number of such quality criteria are precisely defined and automatic
 ally measured through self-play\, in order to estimate the likelihood that
  a given game will be of interest to human players. Further\, it is demons
 trated that this information can be used to direct an automated search for
  new high quality games using genetic programming techniques.
LOCATION:TCM Seminar Room\, Cavendish Laboratory\, Department of Physics
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