Search Strategies in Artificial Intelligence: Uninformed Search (BFS, UCS, DFS, IDDFS)
Monadonna
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Search Strategies in Artificial Intelligence: Uninformed Search (BFS, UCS, DFS, IDDFS)
1 098 просмотров · 1 г. назад
Monadonna
630 подписчиков
1 098 просмотров · 1 г. назад
This video introduces uninformed search strategies, namely: Breadth-First Search (BFS), Uniform Cost Search (UCS), Depth-First Search (DFS), Depth-Limited Search (DLS), and Iterative Deepening Depth-First Search (IDDFS).
The focus of this video is mainly on BFS and UCS.
Learning Outcomes:
✔️ Define and Differentiate Search Strategies: Clearly distinguish between BFS and UCS in terms of strategy, behavior, and application.
✔️ Analyze Algorithm Complexity: Evaluate the time and space complexity of BFS and UCS using real-world scenarios.
✔️ Assess Completeness and Optimality: Understand when BFS and UCS guarantee finding a solution and when they find the optimal solution.