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SUMMARY:AI in Board Games 2: The Settlers of Catan - Benjamin Naccarato\, 
 Churchill College
DTSTART:20160120T194000Z
DTEND:20160120T203000Z
UID:TALK62541@talks.cam.ac.uk
CONTACT:Matthew Ireland
DESCRIPTION:Settlers of Catan is a modern board game\, where 3–4 players
  collect resources to build and trade with each other\, in order to be the
  first to reach a set number of points. This game presents interesting dif
 ficulties for an AI\, including randomness\, hidden information\, negotiat
 ion and trading.\nIn this talk\, I shall discuss the implementations prese
 nted to handle these considerations. We will begin with the AI implementat
 ion in the JSettlers game and the later improvements to this agent\, and f
 ollow by reviewing the benefits of using Monte-Carlo Tree Search or a Rein
 forcement Learning approach in this context\, ending with a closer look at
  the trading AI. By following the contributions by researchers towards a c
 ompetent Settlers AI\, we shall explore the concepts behind various AI alg
 orithms and techniques\, and the process of improving upon established wor
 k.
LOCATION:Wolfson Hall\, Churchill College
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