Presentation 1997/2/7
Model of Instruction Sentence Interpretation and Practice by Interaction of Multipul State Transition Networks
Masanao Kinpara, Takashi Omori,
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Abstract(in English) We propose an model of instruction sentence interpretation and practice. The model contains some state transition machines based on neural networks and realizes a complex function by their interaction. In this study, an input to the model is an easy grammatical word sequence and an output from the model is patterns of sequential action. We think that an important feature of information processing of our brain is the interaction of different functional cortica1 areas. The purpose of this study is a construction of brain like multi-module interaction model, and realization of comparatively lower but most fundamental and essential intelligence.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) PATON / Recurrent Network / State Transition Network / interaction
Paper # NLP96-158,NC96-112
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Committee NC
Conference Date 1997/2/7(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Model of Instruction Sentence Interpretation and Practice by Interaction of Multipul State Transition Networks
Sub Title (in English)
Keyword(1) PATON
Keyword(2) Recurrent Network
Keyword(3) State Transition Network
Keyword(4) interaction
1st Author's Name Masanao Kinpara
1st Author's Affiliation Graduate School of Bio-Applications and System Engineering,Tokyo University of Agriculture and Technology:PRESTO/Research Development Corporation of Japan()
2nd Author's Name Takashi Omori
2nd Author's Affiliation PRESTO/Research Development Corporation of Japan
Date 1997/2/7
Paper # NLP96-158,NC96-112
Volume (vol) vol.96
Number (no) 512
Page pp.pp.-
#Pages 8
Date of Issue