Question: Question 2 5 pts Is the heuristic function for this problem always optimistic? ( That is , does it never overestimate the cost from a

Question 25 pts
Is the heuristic function for this problem always optimistic? (That is, does it never overestimate the cost
from a node to the nearest goal?)
True
False
Graph search treats the state space as a graph. In other words, whenever it encounters a node during a
search it looks to see if the node already exists in the search graph. If so, it may have found a new
shorter path to that node and must adjust the search tree accordingly.
Find the path from the start node (A) to a goal (G) using a breadth-first graph search (shallowest first).
Question 310 pts
What is the sequence of nodes that are explored in the breadth-first search?
A(0),B(1),C(2),E(2),F(3),G(4)
A(0),B(1),D(1),C(2),E(2),H(2),F(3),I(3),G(4)
A(8),D(8),B(10),H(11),I(10),J(10),F(10),G(10)
A(0),B(6),E(4),F(2),G(0) Question 45 pts
What is the path that is found?
A>DEFG
ADH I EFG
ADHIJFG
ABEFG
Find the path from the start node (A) to a goal (G) using a depth-first graph search (deepest first).
Question 510 pts
What is the sequence of nodes that are explored in the depth-first search?
A(0),B(6),E(4),F(2),G(0)
A(0),B(1),C(2),E(2),F(3),G(4)
A(0),B(1),D(1),C(2),E(2),H(2),F(3),I(3),G(4)
A(8),D(8),B(10),H(11),I(10),J(10),F(10),G(10)
Question 2 5 pts Is the heuristic function for

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