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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A fires 5 shots to B's 3 but A kills only once in 3 shots while B kills once in 2 shots. When B has missed 27 times, A has killed:
You're in charge of implementing a stealth game similar to Thief: The Dark Project, and you need guards in your game that have imperfect vision and hearing and inhabit dimly-lit castles, and they can search the area for the player if they think there's an intruder around. How do you model the sensory systems of these guards, and how do you aggregate auditory, visual, and other kinds of stimuli in this system? How do you implement the various alert states for the guards, and why?
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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?
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?
What's the difference between a finite state machine (FSM) and a hierarchical finite state machine (HFSM)? Give an example of a hierarchical state machine with functionality that you could not easily replicate in a non-hierarchical FSM.
2+2*4-8/2
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hello jenny thomas, please give me the explanation of below code // z-add 12 A 2p0 move 'shiv' B 4 move A B B Dsply or move B A A dsply // what is result of A an B in display and what is reason behind it?
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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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