Question: Assume that there exists a best-first search algorithm in which the objective function is f(n) = (2w) g(n) + w.h(n), where f is the

Assume that there exists a best-first search algorithm in which the objective 

Assume that there exists a best-first search algorithm in which the objective function is f(n) = (2w) g(n) + w.h(n), where f is the evaluation function, g is the path cost from the initial state to node n, and h is the estimated cost (i.e. heuristic) of the shortest path from n to a goal state, What kind of search does this behave like, when w = 1?

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