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Explore grid-based pathfinding and vector field navigation techniques in this artificial intelligence lecture from Memorial University's Computer Science program. Learn fundamental algorithmic approaches for spatial problem-solving in AI systems, focusing on how agents navigate through grid environments and utilize vector fields for movement planning. Discover data structures and computational methods essential for modern AI applications in game development and robotics. Examine practical implementations of grid-based algorithms and vector field calculations that enable intelligent agents to move efficiently through complex environments. Master the mathematical foundations underlying spatial AI techniques while understanding their real-world applications in interactive systems and autonomous navigation.
