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How does a flocking-based steering system work? What are the components of a flocking-based steering system, and how are they combined? When does flocking-based steering break down or produce undesirable results? Are there any performance implications of the standard flocking model as described by Craig Reynolds, and if so, what are some ways to address them?

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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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How will you execute 1000 test case in a day ??

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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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4 men and 6 women can complete a work in 8 days, while 3 men and 7 women can complete it in 10 days. In how many days will 10 women complete it?

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Using the example of the Thief-like AI system in the previous section, how do you implement the 'search for player' behavior for the guards, and get them to search an area in a believable fashion? How do you make sure this searching behavior isn't too challenging for players, and ensure that it's usually possible for the player to escape the search if he plays the game well?

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How to find the Table name for the Specific Field?

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