Games and Game
Complexity
Alan Nochenson
IST 511
Sept 8, 2012
Combinatorial game theory
 Sequential games
 Perfect information
 Win, lose, or draw (ordinal utility)
 Examples include chess, checkers, tic tac toe, nim
State-space complexity
                The number of legal
                 positions possible in a
                 game
                For tic-tac-toe, it is 765
                 (removing rotations)
                For chess, it is ~10^43
Game tree size
                  The number of leaf nodes
                   in the tree representation
                   (end-states reached in
                   different ways are counted
                   twice)
                  26, 830 in tic-tac-toe
                   (removing rotations)
Decision complexity
                 How “hard” it is to decide
                  on a given move, or how
                  many moves deep in the
                  tree you need to look to be
                  sure of the outcome
Game tree and Computational
complexity
 Game tree complexity
   The number of leaf nodes of a full-width game (equivalently how
    many leaf nodes are in the level you need to reach to get a
    minimax score)
   GTC = b^d where b is the average branching factor, and d is the
    game tree depth (in plys)
 Computational complexity
   Asymptotic difficulty of a game (big-O notation)
   Play a generalized version of the game (n x n)
Works Cited
 General information from http://en.wikipedia.org/wiki/Game_complexity
 State-space complexity:
   Facts from http://www.methodshop.com/games/play/tictactoe/index.shtml
   Picture from http://www.gameideasforkids.com/images/tictactoe.JPG
 Game tree size picture from http://scienceblogs.com/goodmath/wp-
  content/blogs.dir/476/files/2012/04/i-
  30601eb10fe21a4ce5a4f2f92e80eb10-tic-tac-toe.png
 Decision complexity
   picture from
    http://www.cs.berkeley.edu/~ddgarcia/teaching/CS3Gamesman/assignment/ttt
    branch.gif
   Fact from http://www.nature.com/news/2007/070716/full/news070716-13.html

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511 Week 3

  • 1. Games and Game Complexity Alan Nochenson IST 511 Sept 8, 2012
  • 2. Combinatorial game theory  Sequential games  Perfect information  Win, lose, or draw (ordinal utility)  Examples include chess, checkers, tic tac toe, nim
  • 3. State-space complexity  The number of legal positions possible in a game  For tic-tac-toe, it is 765 (removing rotations)  For chess, it is ~10^43
  • 4. Game tree size  The number of leaf nodes in the tree representation (end-states reached in different ways are counted twice)  26, 830 in tic-tac-toe (removing rotations)
  • 5. Decision complexity  How “hard” it is to decide on a given move, or how many moves deep in the tree you need to look to be sure of the outcome
  • 6. Game tree and Computational complexity  Game tree complexity  The number of leaf nodes of a full-width game (equivalently how many leaf nodes are in the level you need to reach to get a minimax score)  GTC = b^d where b is the average branching factor, and d is the game tree depth (in plys)  Computational complexity  Asymptotic difficulty of a game (big-O notation)  Play a generalized version of the game (n x n)
  • 7. Works Cited  General information from http://en.wikipedia.org/wiki/Game_complexity  State-space complexity:  Facts from http://www.methodshop.com/games/play/tictactoe/index.shtml  Picture from http://www.gameideasforkids.com/images/tictactoe.JPG  Game tree size picture from http://scienceblogs.com/goodmath/wp- content/blogs.dir/476/files/2012/04/i- 30601eb10fe21a4ce5a4f2f92e80eb10-tic-tac-toe.png  Decision complexity  picture from http://www.cs.berkeley.edu/~ddgarcia/teaching/CS3Gamesman/assignment/ttt branch.gif  Fact from http://www.nature.com/news/2007/070716/full/news070716-13.html