Search algorithms look simple until the state space gets huge. Then the real question becomes: Do you explore everything, or do you choose smarter paths first? That is the core idea behind search in AI. Core Idea Search is about moving from a start state to a goal state. You have: a current state possible actions next states a goal condition The algorithm decides which state to explore next. That one decision changes everything. The Basic Structure Most search algorithms follow this pattern: start from the initial state while there are states to explore: choose the next state if it is the goal: return solution expand possible next states return failure Enter fullscreen mode Exit fullscreen mode The difference between DFS, BFS, Greedy Search, and A* is mostly this: How do we choose the next state? DFS vs BFS The first important comparison is DFS vs BFS. DFS goes deep first. BFS expands level by level.…