Ion Using Greedy Best-First Search along with the given Start state, Goal state and heuristic h(n)=Manhattan...

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Ion Using Greedy Best-First Search along with the given Start state, Goal state and heuristic h(n)=Manhattan Distance, expand the search tree accordingly until the Goal is reached. You will note that h(Start_State)=5 and there are three next move options from there at iteration 1 of the algorithm. How many iterations will it take to find the Goal from the Start state? Start State 1 2 3 48 765 Goal State 1 2 3 4 5 6 78 12 48 3 7 6 5 Using h(n) = Manhattan distance 1 2 3 48 5 765 1 2 3 48 5 7 6 385 1 2 3 8 7 6 5 Ion Using Greedy Best-First Search along with the given Start state, Goal state and heuristic h(n)=Manhattan Distance, expand the search tree accordingly until the Goal is reached. You will note that h(Start_State)=5 and there are three next move options from there at iteration 1 of the algorithm. How many iterations will it take to find the Goal from the Start state? Start State 1 2 3 48 765 Goal State 1 2 3 4 5 6 78 12 48 3 7 6 5 Using h(n) = Manhattan distance 1 2 3 48 5 765 1 2 3 48 5 7 6 385 1 2 3 8 7 6 5

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perform Greedy BestFirst Search using the given start state goal state and heuri... View the full answer