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Tic Tac Toe Architecture CSE 5290 – Artificial Intelligence 06/13/2011 Christopher Hepler

Tic Tac Toe Architecture CSE 5290 – Artificial Intelligence 06/13/2011 Christopher Hepler. Processing Steps. Generate Search Tree. Accept User (X) Input. Search branches in current board node. Update current board node based on user’s selection. Computer (O) Turn.

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Tic Tac Toe Architecture CSE 5290 – Artificial Intelligence 06/13/2011 Christopher Hepler

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  1. Tic Tac Toe ArchitectureCSE 5290 – Artificial Intelligence06/13/2011Christopher Hepler

  2. Processing Steps Generate Search Tree Accept User (X) Input Search branches in current board node Update current board node based on user’s selection Computer (O) Turn Minimax with Alpha Beta Pruning Update GUI Check For Win Update current board node based on computer’s selection

  3. Generate Search Tree The search tree is created by recursively filling in a square traversing all the way down each branch. Each level of the search tree alternates between an X and an O.

  4. User (X) Steps • The user clicks on a button. • The user selection is used to find the node in the branch list of the current node. • Once the node has been found the current node is updated to the node in the branch list. Accept User (X) Input Search branches in current board node Update current board node based on user’s selection

  5. Computer (O) Steps Computer (O) Turn • The current board state is run through the minimax alpha beta algorithm to determine the best location for the computer to select. • Once the location is found the current node is updated to reflect the new board state. Minimax with Alpha Beta Pruning Update current board node based on computer’s selection

  6. Check for winner Accept User (X) Input • A check is performed to determine if there was a winner in this state. • If so then update the GUI. • If there was no winner and not a draw the game continues back at the user (X) input. Update GUI Check For Win

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