Presentation 1998/7/24
Man-machine Communication for Retaining Consistency in Knowledge with Image and Voice Media
Hiroshi IYOBE, Shuichi ARAI,
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Abstract(in English) Human adjust his knowledge to other's with communication. Therefore, a computer can acquire the concept which human understands with Man-Machine communication. This paper describes the knowledge representation method to manage the different kinds of informatin, and that enables acquiring the knowledge by learning. This system can handle two differnt kinds of information : image and sound. In this system, these informations are related using the rule that the many observed stimulus in same time have same semantic information. This relationship means the semantic concept of linguistic symbol. Moreover, this study proposes the simple Man-machine communication model, to realize the flexible understanding system that is independent of recognition target.
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Keyword(in English) image understanding / speech understanding / knowledge acquisition / communication
Paper # OFS98-14,AI98-23
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Committee AI
Conference Date 1998/7/24(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) Man-machine Communication for Retaining Consistency in Knowledge with Image and Voice Media
Sub Title (in English)
Keyword(1) image understanding
Keyword(2) speech understanding
Keyword(3) knowledge acquisition
Keyword(4) communication
1st Author's Name Hiroshi IYOBE
1st Author's Affiliation Musashi Institute of Technology()
2nd Author's Name Shuichi ARAI
2nd Author's Affiliation Musashi Institute of Technology
Date 1998/7/24
Paper # OFS98-14,AI98-23
Volume (vol) vol.98
Number (no) 202
Page pp.pp.-
#Pages 8
Date of Issue