Presentation 1994/3/4
Quantification in Artificial Intelligence with Quantitative Common Sense
Masakatsu Ohta, Shigeo Shimada, Toshiyuki Iida, Tsukasa Kawaoka,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In this paper,research is presented on an artificial intelligence system With common sense which can understand and solve problems on quantity as humans do.This system represents problems as a combination of elements necessary for computer processing(semantic analysis),and quantifies the elements relating to degree and comparison(quantification),then estimates degrees and trends. In particular,this paper discusses the method of the quantification.The quantification procedure introduces primitives(such as ′large′ and ′small′)which are independent of the measures.This makes possible the simplification of the procedure and the application of existing techniques such as fuzzy logic.In addition,an implementation of this method of quantification using these primitives is shown.
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Keyword(in English) artificial intelligence / common sense / quantitative evaluation / trend evaluation / membership function
Paper # AI93-82,KBSE93-49
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Committee AI
Conference Date 1994/3/4(1days)
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Registration To Artificial Intelligence and Knowledge-Based Processing (AI)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Quantification in Artificial Intelligence with Quantitative Common Sense
Sub Title (in English)
Keyword(1) artificial intelligence
Keyword(2) common sense
Keyword(3) quantitative evaluation
Keyword(4) trend evaluation
Keyword(5) membership function
1st Author's Name Masakatsu Ohta
1st Author's Affiliation Network Information Systems Laboratories,NTT()
2nd Author's Name Shigeo Shimada
2nd Author's Affiliation Network Information Systems Laboratories,NTT
3rd Author's Name Toshiyuki Iida
3rd Author's Affiliation Network Information Systems Laboratories,NTT
4th Author's Name Tsukasa Kawaoka
4th Author's Affiliation Communication Science Laboratories,NTT
Date 1994/3/4
Paper # AI93-82,KBSE93-49
Volume (vol) vol.93
Number (no) 493
Page pp.pp.-
#Pages 8
Date of Issue