You are given a set W of n widgets and a set G of n gadgets. Each widget w has a weight W(v) and each gadget g has a weight W(g). You would like to match each widget w in W to a unique gadget g in G so as to minimize the sum of the absolute values of the weight differences of the matched pairs. That is, you would like to find a perfect matching M between W and G that minimizes |W(w) – W (g)|. (w,g)ƐM Design an efficient greedy algorithm to solve the given problem. Prove that your algorithm is correct. Analyze the worst-case running time of your algorithm

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Intelligent Machines

Machines that use artificial intelligence to learn from the environment and past experiences to perform better in the presence of variability and uncertainty are called intelligent machines. Intelligence develops according to environment and experience. It is human-like behavior. When the computer system or any programmed machine learns from the inputs and corresponding outputs, it can be called an intelligent machine.