Presentation 1997/1/24
On the Construction of Threshold Circuits Simulating Augmented Transition Networks
Masahiro Kobayashi, Tetsuro Nishino,
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Abstract(in English) The augmented transition network (ATN) is widely used as a computational model of natural language recognition. If this model correctly represents the process of human language recognition, humen brain must be able to simulate the corresponding ATN in some sence. In this paper, we represent human brains by threshold circuits, and show an algorithm to construct a threshold circuit which simulates an arbitrary given augmented transition network. In such a way, we propose a computational model of natural language recognition performed by the human brain.
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Keyword(in English) threshold circuit / augmented transition network / natural language recognition
Paper # COMP96-77
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Committee COMP
Conference Date 1997/1/24(1days)
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Registration To Theoretical Foundations of Computing (COMP)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) On the Construction of Threshold Circuits Simulating Augmented Transition Networks
Sub Title (in English)
Keyword(1) threshold circuit
Keyword(2) augmented transition network
Keyword(3) natural language recognition
1st Author's Name Masahiro Kobayashi
1st Author's Affiliation Graduate School of Electro-Communications The University of Electro-Communications()
2nd Author's Name Tetsuro Nishino
2nd Author's Affiliation Graduate School of Electro-Communications The University of Electro-Communications
Date 1997/1/24
Paper # COMP96-77
Volume (vol) vol.96
Number (no) 488
Page pp.pp.-
#Pages 8
Date of Issue