![]() Once these differences occur, then we can apply an operator to reduce the differences. In the MEA process, we detect the differences between the current state and goal state. Apply the operator at each difference, which reduces the difference between the current state and goal state.Select the various operators which can be applied for each difference.First, evaluate the difference between Initial State and final State.Following are the main Steps which describes the working of MEA technique for solving a problem. It is a strategy to control search in problem-solving. The means-ends analysis process can be applied recursively for a problem. The MEA analysis process centered on the evaluation of the difference between the current state and goal state.Simon in their problem-solving computer program, which was named as General Problem Solver (GPS). The MEA technique was first introduced in 1961 by Allen Newell, and Herbert A.It is a mixture of Backward and forward search technique.Means-Ends Analysis is problem-solving techniques used in Artificial intelligence for limiting search in AI programs.Such a technique is called Means-Ends Analysis. ![]() Such a mixed strategy, make it possible that first to solve the major part of a problem and then go back and solve the small problems arise during combining the big parts of the problem. We have studied the strategies which can reason either in forward or backward, but a mixture of the two directions is appropriate for solving a complex and large problem.Next → ← prev Means-Ends Analysis in Artificial Intelligence
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