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?
Answer / Srashti Rani
Attractors and repulsors are forces that draw or push an agent towards or away from a certain point or area. In a steering system, they can be used to guide the movement of agents towards objectives (attractors) or away from obstacles or other unwanted areas (repulsors). Attractors and repulsors interact by combining their forces with other components like velocity, target position, and obstacle avoidance. They are useful for various applications such as navigation, pathfinding, and crowd simulation. However, they have limitations when dealing with complex environments or dynamic situations where the attractors or repulsors might change frequently. For example, in obstacle avoidance, they might not be sufficient when there are many irregularly shaped or moving obstacles.
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You're working on a game that involves enemy wizards dueling each other. Each wizard has at least a dozen different spells at his disposal -- some of them simply inflict damage, while others will temporarily stun or immobilize an enemy, slow him, prevent him from casting spells for a brief duration, teleport the caster a short distance, or give the caster a temporary shield. A wizard can only cast one spell at a time, but each spell has a fixed cooldown (time before it can be cast again) and an associated mana cost (assume no mana regeneration). Describe some ways you might implement a competent AI system for a wizard.
Explain Pricing Determination
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where will movement type get assigned?
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