Search - Lecture 0 - CS50's Introduction to Artificial Intelligence with Python 2020

In this introductory lecture on Artificial Intelligence with Python, Brian Yu explains fundamental AI concepts, beginning with search algorithms. He details the components of a search problem, including agents, states, actions, transition models, goal tests, and path costs. The lecture distinguishes between uninformed search strategies like depth-first search (DFS) and breadth-first search (BFS), illustrating their application in maze-solving. It also covers informed search methods such as Greedy Best First Search and A* search, emphasizing the importance of heuristics. Additionally, the lecture introduces adversarial search, particularly the Minimax algorithm for game playing, along with optimization techniques like alpha-beta pruning and depth-limited minimax.