A report on artificial intelligence and problem solving.
Written in 2000; 1,660 words; 5 sources; $ 53.95
Paper Summary:
This report discusses how artificial intelligence approaches and solves problems, presenting a superficial introduction to the following areas of problem solving: (1) search spaces and possibilities; (2) ways artificial intelligence solves simple problems; and (3) how artificial intelligence deals with problems having infinite number of possible solutions.
From the Paper:
"Artificial intelligence, also known as AI, is the branch of computer science that is concerned with the design of computer systems which exhibit human intelligence. One of the major categories of artificial intelligence is problem solving. The way AI solves a problem is by first defining the initial state and the ending state. Once this is done, it chooses one of two ways to approach the problem. The first way consists of changing the initial state into a second state, which is closer to the solution. The second stage is changed into a third stage and so on until the goal is finally reached. The second way to solve a problem is called problem reduction. This is a method in which a goal is subdivided into a set of subgoals that are easier to achieve. AI then solves these subgoals until the solution is reached. However, while solving problems, AI faces a serious impediment. This impediment is the search space it has to deal with. Many problems have an infinite number of possible solutions, and it will take a computer forever to search all possibilities before choosing the best one. To overcome this obstacle, AI selects only a subset of possible solutions. Once this is done, it then searches through these possibilities until it finds the solution."
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