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Module Five Milestone Three Southern New Hampshire University IT 450 $8.99   Add to cart

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Module Five Milestone Three Southern New Hampshire University IT 450

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Milestone Three Proposed AI single solution: After playing and studying the AI in this checkers game for five weeks now I feel that it is too simple to defeat. A possible solution to this problem is implementing an Alpha-Beta game search tree. Which is a search tree part of the minimax method, ...

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  • March 31, 2023
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IT-450

Prof. Gebril

February 7, 2021

Milestone Three

Proposed AI single solution:

After playing and studying the AI in this checkers game for five weeks now I feel that it

is too simple to defeat. A possible solution to this problem is implementing an Alpha-Beta game

search tree. Which is a search tree part of the minimax method, to my understanding from our

book this implementation will increase the difficulty of the AI due to its new ability to find

various solutions throughout the game.

Determine which of the considered and applied solutions you feel is appropriate and

formulate your defense and explanations to convince your AI and non-AI professional

audience.

Implementing an Alpha-Beta search tree will drastically change the outcome and skill

level of the AI in the codio checker’s game. In the current state of the game the AI is set up to

read off a list of moves (Figures 1 & 2) and doesn’t really see any move in advance, it only plays

in the moment. Using this more advanced method would take each move into account and play

off of that rather than just moving through a list and basing moves off of who has more pieces.

Having the AI value each position and move of the opposing player can help gather more

information on what the next move will be so the AI can prepare and plan to attack or counter.

Implementing this minimax method is far more advanced than the heuristic method applied now.




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