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Explore classic search algorithms in AI through this 21-minute video lecture. Delve into uninformed search methods like Depth-First Search (DFS) and Breadth-First Search (BFS), as well as informed techniques such as A* and heuristic development. Discover advanced strategies including cycle pruning, multipath pruning, and bidirectional search. Learn from slides based on the 3rd edition of "Artificial Intelligence: foundations of computational agents" by David L. Poole and Alan K. Mackworth. Part of the Neuro Symbolic Channel's series, this lecture combines symbolic methods and deep learning concepts, offering insights into cutting-edge AI research and progress towards artificial general intelligence (AGI).
Syllabus
Defining a Search Problem in AI
Taught by
Neuro Symbolic