511 Week 3
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Transcript of 511 Week 3
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Games and Game
ComplexityAlan Nochenson
IST 511
Sept 8, 2012
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Combinatorial game theory Sequential games
Perfect information
Win, lose, or draw (ordinal utility)
Examples include chess, checkers, tic tac toe, nim
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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
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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)
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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
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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)
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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/tttbranch.gif
Fact from http://www.nature.com/news/2007/070716/full/news070716-13.html