Simple exhaustive searchesUninformed searches (breadth first search, depth-first search and general state space search): , , , are rarely sufficient for most real-world problems: the search space (the number of places to search) quickly grows to astronomical numbers. The result is a search that is too slow or never completes. "Heuristics" or "rules of thumb" can help prioritize choices that are more likely to reach a goal.Heuristic or informed searches (e.g., greedy best first and A*): , , ,
Simple exhaustive searchesUninformed searches (breadth first search, depth-first search and general state space search): , , , are rarely sufficient for most real-world problems: the search space (the number of places to search) quickly grows to astronomical numbers. The result is a search that is too slow or never completes. "Heuristics" or "rules of thumb", can help prioritize choices that are more likely to reach a goal.Heuristic or informed searches (e.g., greedy best first and A*):  , ,