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ERIC Number: ED127551
Record Type: RIE
Publication Date: 1976-Feb
Reference Count: 0
Artificial Intelligence and Language Comprehension.
National Inst. of Education (DHEW), Washington, DC. Basic Skills Group. Learning Div.
The three papers in this volume concerning artificial intelligence and language comprehension were commissioned by the National Institute of Education to further the understanding of the cognitive processes that enable people to comprehend what they read. The first paper, "Artificial Intelligence and Language Comprehension," by Terry Winograd, outlines the potential impact of artificial intelligence on our understanding of human language comprehension. It is directed to people outside the field, concentrating on the ways in which the research differs in method and content from the work being done from other viewpoints and laying out the assumptions that have led many researchers to apply the "computational metaphor" to human language use. "Artificial Intelligence, Language, and the Study of Knowledge," by Ira Goldstein, Seymour Papert, and Marvin Minsky, develops the view that intelligence is based on the ability to use large amounts of diverse kinds of knowledge in procedural ways, rather than on the possession of a few general and uniform principles. Implications for education are discussed. The third paper is "Natural Language Understanding Systems Within the AI Paradigm: A Survey and Some Comparisons," by Yorick Wilks. (Authors/MKM)
Publication Type: Reports - Research
Education Level: N/A
Authoring Institution: National Inst. of Education (DHEW), Washington, DC. Basic Skills Group. Learning Div.