Trace a State Space Tree introduced in the Chapter 5.1 using algorithms depth_first_search checknode and expand Assume that State Space Tree is a two-level full binary tree (root is level 0). Node #2 (according to notation used in the Figure 5.1, is non-promising. Count the number of steps performed by each of those three algorithms. Consider execution of instructions like "visit node" or execution of "promising function" as one step, "write a solution" as an exit call. Note: no need to print or a draw a whole tree. Just provide three numbers as an answer Figure 5.1 A tree with nodes numbered according to a depth-first search. 10 13 16 14 15

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Trace a State Space Tree introduced in the Chapter 5.1 using
algorithms depth_first_search
checknode
and expand
Assume that State Space Tree is a two-level full binary tree (root is level 0). Node #2 (according to
notation used in the Figure 5.1,
is non-promising.
Count the number of steps performed by each of those three algorithms. Consider execution of
instructions like "visit node" or execution of "promising function" as one step, "write a solution" as
an exit call.
Note: no need to print or a draw a whole tree. Just provide three numbers as an answer
Transcribed Image Text:Trace a State Space Tree introduced in the Chapter 5.1 using algorithms depth_first_search checknode and expand Assume that State Space Tree is a two-level full binary tree (root is level 0). Node #2 (according to notation used in the Figure 5.1, is non-promising. Count the number of steps performed by each of those three algorithms. Consider execution of instructions like "visit node" or execution of "promising function" as one step, "write a solution" as an exit call. Note: no need to print or a draw a whole tree. Just provide three numbers as an answer
Figure 5.1 A tree with nodes numbered according to a depth-first search.
10
13
16
14
15
Transcribed Image Text:Figure 5.1 A tree with nodes numbered according to a depth-first search. 10 13 16 14 15
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