trí tuệ nhân tạo,cao hoàng trụ,dhbkhcm

trí tuệ nhân tạo,cao hoàng trụ,dhbkhcm Artificial Intelligence (2014 2015) Tutorial 3 Question 1 Hill Climbing can be applied to a traveling salesman like problem as follows Each path going through al[.]

Artificial Intelligence (2014-2015) Tutorial Question Hill Climbing can be applied to a traveling salesman-like problem as follows Each path going through all the cities is viewed as a state and each state transition is performed by switching the order of two cities in a path The heuristic function value of a path is defined as its total length Consider the city map with four cities A, B, C, and D, and their pairwise distances as in Figure Apply Hill Climbing to look for a shortest possible path that visits each city exactly once (not required to go back to the start city), assuming that the initial path is ABCD, whose total length is + + = Question Figure shows a start and goal state for the 8-puzzle, along with the first three states generated in the search Figure CuuDuongThanCong.com https://fb.com/tailieudientucntt Consider heuristics and use Best_First_Search (f(n) = g(n) + h(n)) to solve the problem:    h1(n): counts the tiles out of place in each state when compared with the goal h2(n): sum all the distances by which the tiles are out of place, one for each square a tile must be moved to reach its position in the goal state h3(n): multiplies a small number (2, for example) times each direct tile reversal (where two adjacent tiles must be exchanged to be in the order of the goal) Figure summaries of heuristic functions Figure Three heuristics applied to state in the 8-puzzle And:  g(n): actual distance from n to the start state (Figure 4) Figure CuuDuongThanCong.com https://fb.com/tailieudientucntt