Imagine you have to write a Tic-Tac-Toe game in which a human player plays against the computer. Discuss the different ways in which you could implement the computer’s artificial intelligence for the game. Which method would you ultimately choose? And why?
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What is a decision tree? When would you want to use one? What are its performance characteristics? How can you generate a decision tree automatically from a pre-existing data set? Is it feasible to do this at runtime, and has it been done in a commercial game before? When and why would you want to do this, and how would the data need to be organized to make this possible?
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What is planning? How is it used, and what are its advantages? Is it feasible to use planning in real-time games? If so, name any titles where planning has been used for any part of the AI. Describe the architecture of a planning-based AI system for any genre of game.
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You're developing a boss encounter in a 3D platformer game, and the boss has 15 different attacks. The game designers have asked you to make sure that the player sees as many of those 15 attacks as possible during the encounter, and that he seldom or never sees the same attack twice in a row. What are some ways you can do this? What does the attack selection algorithm look like in this case? Keep in mind that not all attacks are possible all the time -- for example, the boss has a melee attack that he can only do when the player is very close, and a bombardment attack he can only do when the player is far away.
where will movement type get assigned?
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