In the latter sense, the term Artificial Intelligence (AI) has been applied to computer systems and programs capable of performing tasks more complex than straightforward programming, although still far from the scope of actual thought. The most important fields of research in this area are information processing, pattern recognition, game-playing computers and applied fields such as medical diagnosis. Current research in information processing deals with programs that enable a computer to understand written or spoken information and to produce summaries, answer specific questions, or redistribute information to users interested in specific areas of this information. Essential to such programs is the ability of the system to generate grammatically correct sentences and to establish linkages between words, ideas and associations with other ideas. Research has shown that whereas the logic of language structure – its syntax- submits to programming, the problem of meaning, or semantics, lies far deeper, in the direction of true AI.
In medicine, programs have been developed that analyze the disease symptoms, medical history, and laboratory test results of patients, and then suggest a diagnosis to the physician. The diagnostic program is an example of so-called expert systems- programs designed to performs tasks in specialized areas as a human would. Expert systems take computers a step beyond straightforward programming being based on a technique called rule-based interference, in which pre-established rule systems are used to process the data. Despite their sophistication, systems still do not approach the complexity of true intelligent thought.
Many scientists remain doubtful that true Artificial Intelligence (AI) can ever be developed. The operation of the human mind is still little understood, and computer design may remain essentially incapable of analogously duplication those unknown, complex processes. Various routes are being used in the effort to reach the goal of true AI. One approach is to apply the concept of parallel processing- interlinked and concurrent computer operations. Another is to create network of experimental computer chips, called silicon neurons that mimic data processing functions of brain cells. Using analog technology, the transistors in these chips emulate nerve-cell membranes in order to operate at the speed of neurons.
Research in Artificial Intelligence (AI) is concentrated in some half-dozen areas. In problem solving, one must proceed from a beginning (the initial state) to the end (the goal stare) via a limited number of steps; Artificial Intelligence (AI) here involves an attempt to model the reasoning process in solving a problem.
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