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AI Algorithms (MESIIN476025)
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Consider the search graph shown bellow. S is the start state and G is the goal state. Edges are annotated with their cost. The table shows the values for each node for three different heuristic functions: h1, h2 and h3.
- Specify the path as a sequence of nodes, starting at S and ending at G, that the Greedy Best First search algorithm with heuristic h3 returns.
The path should be written in the format: S, ?, ?, ..., G
Consider the search graph shown bellow. S is the start state and G is the goal state. Edges are annotated with their cost. The table shows the values for each node for three different heuristic functions: h1, h2 and h3.
- Specify the path as a sequence of nodes, starting at S and ending at G, that the Greedy Best First search algorithm with heuristic h3 returns.
The path should be written in the format: S, ?, ?, ..., G
Consider the search graph shown bellow. S is the start state and G is the goal state. Edges are annotated with their cost. The table shows the values for each node for three different heuristic functions: h1, h2 and h3.
- Specify the path as a sequence of nodes, starting at S and ending at G, that the Greedy Best First search algorithm with heuristic h3 returns.
The path should be written in the format: S, ?, ?, ..., G
Is the heuristic presented in the graph below consistent?
Consider the search graph shown bellow. S is the start state and G is the goal state. Edges are annotated with their cost. The table shows the values for each node for three different heuristic functions: h1, h2 and h3.
- Specify the path as a sequence of nodes, starting at S and ending at G, that the Greedy Best First search algorithm with heuristic h3 returns.
The path should be written in the format: S, ?, ?, ..., G
Consider the search graph shown bellow. S is the start state and G is the goal state. Edges are annotated with their cost. The table shows the values for each node for three different heuristic functions: h1, h2 and h3.
- Specify the path as a sequence of nodes, starting at S and ending at G, that the Greedy Best First search algorithm with heuristic h3 returns.
The path should be written in the format: S, ?, ?, ..., G
Give the name of the search algorithm that results from the following special case:
"Simulated annealing with at all times (and omitting the termination test)".
Let H1 and H2 both be admissible heuristics. Then, max(H1, H2) is necessarily admissible
Depth-first search is an optimal, uninformed search technique.