外文翻譯--人工智能-其他專業(yè)-文庫吧資料
2025-01-27 09:54本頁面
【正文】 e problems of finding ways of focusing on only the relevant facts of a large database and of keeping track of the justifications for beliefs and updating them when new information arrives. Language Understanding The domain of language understanding was also investigated by early AI researchers and has consistently attracted have been written that answer questions posed in English from an internal database,that translate sentences from one language to another,that follow instruction given in English,and that acquire knowledge by reading textual material and building an internal programs have even achieved limited success in interpreting instructions spoken into a microphone instead of typed into the these language systems are not nearly as good as people are at any of these tasks,they are adequate for some successes with programs that answered simple queries and followed simple directions,and early failures at machine translation,have resulted in a sweeping change in the whole AI approach to principal themes of current languageunderstanding research are the importance of vase amounts of general,monsense world knowledge and the role of expectations,based on the subject matter and the conversational situation,in interpreting sentences. Learning Learning has remained a challenging area for one of the most salient and significant aspects of human intelligence is the ability to is a good example of cognitive behavior that is so poorly understood that vary little progress has been made in achieving it in AI have been several interesting attempts,including programs learn from examples,form their own performance,and from being expert system may perform extensive and costly putations to solve a expert systems are hindered by the inflexibility of their problemsolving strategies and the difficulty of modifying large amounts of obvious solution to these problems is for programs to learn on their own,either from experience,analogy,and examples or by being told what to do. Game Playing Much of the early research in state space search was done using mon board games such as checkers,chess,and the addition to their inherent intellectual appeal,board games have certain properties that make them ideal subjects for this early games are played using a welldefined set of rules,this makes it easy to generate the search space and frees the researcher from many of the ambiguities and plexities inherent in less structured board configurations used in playing these games are easily represented on a puter,requiring none of the plex formalisms. Conclusion We have attempted to define artificial intelligence through discussion of its major areas of research and spite of the v
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