How Accounting determination happened?
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In Material Master, in which tab you will find the Loading Group?
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?
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?
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?
Do you know the S/4 HANA?
what is extern
Two trains running in opposite directions cross a man standing on the platform in 27 seconds and 17 seconds respectively and they cross each other in 23 seconds. The ratio of their speeds is:
what are the advantages of PO 7.4 version ? new features in it ?
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.
A train can travel 50% faster than a car. Both start from point A at the same time and reach point B 75 kms away from A at the same time. On the way, however, the train lost about 12.5 minutes while stopping at the stations. The speed of the car is
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?
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.