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KI

What is Uninformed search?

No information on the length or cost of a path to the solution

- BFS
- DFS
- DFS-Limited

KI

What is Informed search?

Knowledge of the worth of expanding a node *n* is given in the form of an *evaluation function* *f(n)*, which assigns as a component a *heuristic function h(n)*, which estimates the costs of the cheapest path from *n* to the goal.

KI

What is Breadth-First Search?

- Nodes are expanded in the order they were produced
- Always finds the shallowest goal state first
- Completeness is obvious
- The solution is optimal if every action has identical and non-negative costs

KI

What is Depth-First Search?

- Always expands an unexpanded node at the greatest depth
- The solution found is not optimal
- Completeness can be guaranteed only for graph-based search and finite state spaces

KI

What is Depth-Limited Search?

- Depth-First Search with an imposed cutoff on the max depth of a path
- Use much less memory than BFS

KI

Space Complexity of DFS

Tree Based: O(bm)...m is max length of path in the state space and b is number of children of each node

Graph Based: bounded by the size of the state space

KI

Time Complexity of DFS

Tree Based: O(b^m)

Graph Based: in the worst case, all states need to stored in the explored set

KI

What is Iterative Deepening Search?

- Use DLS and in every iteration increase search depth by one
- Since the first steps are always repeated looks a bit like a waste of resources
- Combines BFS and DFS

KI

Space Complexity of IDS

O(bd)...d is depth of solution

KI

Time Complexity of IDS

O(b^d)

KI

What is Best-First Search?

is informed search procedure that expands the node with the "best" *f*-value first, e.g. explores a graph by expanding the most promising node chosen according to a specified rule

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What is Greedy Search?

a possible way to judge the "worth" of a node is to estimate its path-costs to the goal

*h(n)* = estimated path-costs from *n* to the goal

Greedy Search uses *h(n)* as the evaluation function and expands node with __lowest ____h(n)__

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