Videos

CSCI 6350 Artificial Intelligence: Minimax and Alpha-Beta Pruning Algorithms and Psuedocodes



CSCI Tutorials

Markers
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Animated example of Minimax (Naïve): 03:03
Minimax (Naïve) psuedocode walkthrough: 13:23

Animated example of Minimax (AlphaBeta): 26:23
Minimax (AlphaBeta) psuedocode walkthrough: 35:09

References
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Minimax Psuedocode
http://en.wikipedia.org/wiki/Minimax

Alpha-beta Pruning Psuedocode
http://en.wikipedia.org/wiki/Alpha%E2%80%93beta_pruning

Game Tree Video Lecture (Indian Institute of Technology)
http://youtu.be/SO-oXQgvJt4

CS 161 Recitation Notes – Minimax with Alpha Beta Pruning (University of California, Los Angeles)
http://cs.ucla.edu/~rosen/161/notes/alphabeta.html

How many Tic-Tac-Toe (noughts and crosses) games are possible?
http://www.se16.info/hgb/tictactoe.htm

Strategies and Tactics for Intelligent Search
http://web.stanford.edu/~msirota/soco/minimax.html

An Exhaustive Explanation of Minimax, a Staple AI Algorithm
http://www.flyingmachinestudios.com/programming/minimax/

Additional Resources
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Game Visualization (Minimax Java Applet)
http://ksquared.de/gamevisual/launch.php

Demo: minimax game search algorithm with alpha-beta pruning (HTML5 Applet)
http://homepage.ufp.pt/jtorres/ensino/ia/alfabeta.html

Source

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28 thoughts on “CSCI 6350 Artificial Intelligence: Minimax and Alpha-Beta Pruning Algorithms and Psuedocodes
  1. This video was tremendously helpful, thank you so much! I'm a huge fan of numerical, slow examples of these methods/algorithms.

  2. What if the branching factor where greater than 2. For example, if each node had more than 2 children. If the pruning condition was met after returning from the first child, would the remaining 2 branches be pruned?

  3. What if the branching factor where greater than 2. For example, if each node had more than 2 children. If the pruning condition was met after returning from the first child, would the remaining 2 branches be pruned?

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