The science and engineering of making intelligent machines is AI.It is Task of using computers to understand human intelligence reasoning, knowledge, planning, learning, communication, perception and the ability to move and manipulate objects.Intelligence involves mechanisms, and AI research has discovered how to make computers carry out some of them."Intelligence" which at present is an abstract and immeasurable quantity. We cannot yet characterize in general what kinds of computational procedures we want to call Intelligent. We understand some of the mechanisms of Intelligence. Intelligence helps in identifying the right piece of knowledge at the appropriate instances of decision making.
We understand some of the mechanisms of intelligence. Mechanisms that are well understood today, computer programs can give very impressive performances on these tasks. Such programs should be considered somewhat Intelligent. "Artificial Intelligence" thus can be defined as the simulation of human intelligence on a machine, so make the machine efficient to identify and use the right place of "Knowledge" at a given step of solving a problem. Intelligent must be able to set goals and achieve them. Able to make choices that maximize the utility or "value" of the available choices.The field of robotics is closely related to AI.Intelligence is required for robots to be able to handle such tasks as object manipulation and navigation with sub-problems of knowing where you are,mapping (learning what is around ) and motion planing.
computer simulates the psychological learning process of animal, learning by correcting and not repeating the mistakes.In game of pebble picking a multidimensional array of elements is chosen as the instruction book for the computer to pick the pebbles. The instruction book contains instructions to pick pebbles. This instructs to pick a single pebble, and then instructs to pick 2 and instructs to pick 3 pebbles. At the beginning, computer chooses a random page and a random line of instruction to pick the pebble.
When the game finishes, if computer looses the game, the last instruction is red-marked (erased) and the instruction will not be read in the future. After playing many games, all the instructions leading to a lost game will be red marked and there will be left only the instructions those lead to a win. last it finds all its mistakes and corrects them to become an unbeatable champion.So this is how we are increasing probability of wining the game. However when a human being learn from mistakes he just uses common observation and improve the strategy.
The subject of artificial intelligence has been enriched with a wide discipline of knowledge from Philosophy, Psychology, Cognitive Science, Computer Science, Mathematics and Engineering.The subject of artificial intelligence was originated with game-playing and theorem-proving programs and was gradually inserted with theories from a number of parent disciplines. As a young discipline of science, the significance of the topics covered under the subject changes considerably with time. Among the application areas of AI, we have Expert systems, Game-playing, and Theorem-proving, Natural language processing, Image recognition, Robotics and many others. references 1)http://delphi.about.com/od/gameprogramming/a/aigamesample.html 2)http://www-formal.stanford.edu/jmc/whatisai/node4.html 3)http://en.wikipedia.org/wiki/Artificial_intelligence praveen kumar na09b019
Intelligent must be able to set goals and achieve them. Able to make choices that maximize the utility 
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