What is dynamic pathfinding in AI?
An example of an AI chatbot conversation about dynamic pathfinding in AI systems.
What is dynamic pathfinding in AI?
Dynamic pathfinding refers to the ability of an AI system to find optimal paths in real-time, adapting to changes in the environment.
How does it differ from static pathfinding?
Static pathfinding calculates a path once and doesn't change, while dynamic pathfinding updates the path as obstacles or goals change.
Can you give an example of where dynamic pathfinding is used?
Sure! It's commonly used in video games for character movement, where characters navigate around obstacles in real-time.
What algorithms are commonly used for dynamic pathfinding?
Popular algorithms include A* (A-star), Dijkstra's algorithm, and Rapidly-exploring Random Trees (RRT).
Are there any limitations to dynamic pathfinding?
Yes, it can be computationally intensive, especially in complex environments, and may require optimization for performance.
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