THE FUTURE OF ARTIFICIAL INTELLIGENCE: LEARNING FROM EXPERIENCE

We view the future of artificial intelligence from three perspectives: scientific, technological, and educational. The common theme among these views is the central importance of learning, particularly in problem domains where case-based reasoning seems appropriate. From a scientific perspective, an...

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Bibliographic Details
Published in:Applied artificial intelligence 1991-01, Vol.5 (1), p.97-107
Main Authors: SCHANK, ROGER C., SLADE, STEPHEN B.
Format: Article
Language:English
Subjects:
Applied sciences
Artificial intelligence
Computer science
control theory
systems
Exact sciences and technology
Learning and adaptive systems
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Summary:We view the future of artificial intelligence from three perspectives: scientific, technological, and educational. The common theme among these views is the central importance of learning, particularly in problem domains where case-based reasoning seems appropriate. From a scientific perspective, an adequate model of the mind must account for the phenomena of learning. Learning must also be considered a technological requirement for computer systems both to facilitate the initial knowledge acquisition and ultimately to adapt to new situations. Finally, a scientific model of learning, together with AI technology, conform the basis for a new mode of education. This technology can be applied to instruction for a wide range of subjects.
ISSN:0883-9514
1087-6545
DOI:10.1080/08839519108927919