OOGTOthello - Last Modified : Description Your assignment...

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Last Modified: 10/5/2010 Minimax and Alpha ­ beta Pruning: The “Agent Adversarial” Assignment Description Your assignment this week is to create an agent that uses the minimax algorithm and alpha-beta pruning to play Othello. The good news is that much of the work has been done already in the Object-Oriented Game Theory Framework. However, two pieces still need to be implemented! In this assignment, you must code a piece of the class that represents the Othello board and the entire Evaluator class. Using the Object ­ Oriented Game Theory Framework 1. Create a new project in Eclipse 2. Copy the oogt.jar file to your project folder 3. Copy the PlayGameConfig.xml file to your project 4. Refresh your Package Explorer view in Eclipse. 5. Right-click on the oogt.jar file and select Build Path->Add to Build Path Creating the MyOthelloBoard Class 1. Create a new class called MyOthelloBoard 2. Import edu.lhup.ai.* and edu.lhup.ai.othello.* 3. Extend the edu.lhup.othello.Board class 4. Override the protected Boolean
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This note was uploaded on 10/23/2011 for the course ENCS ENCS5 taught by Professor Abdelsalam during the Spring '10 term at Birzeit University.

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OOGTOthello - Last Modified : Description Your assignment...

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