Presentation 2004/6/18
Associative Memory Model to Acquire Procedural Knowledge
Manabu GOUKO, Yoshihiro SUGAYA, Hirotomo ASO,
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Abstract(in English) Intelligent systems using conventional associative memory model learn the knowledge which is prepared in advance. Therefore they have poor adaptability to the environment different from what the knowledge assumes.In this study, we propose an associative memory model to acquire procedural knowledge sequentially from surroundings of the model. We carried out computer simulations and confirmed that the proposed model acquires procedural knowledge which is suitable for the environment.
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Keyword(in English) associative memory model / procedural knowledge / neural network
Paper # NC2004-37
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Conference Information
Committee NC
Conference Date 2004/6/18(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) Associative Memory Model to Acquire Procedural Knowledge
Sub Title (in English)
Keyword(1) associative memory model
Keyword(2) procedural knowledge
Keyword(3) neural network
1st Author's Name Manabu GOUKO
1st Author's Affiliation Department of Electrical and Communication Engineering, Graduate School of Engineering, Tohoku University()
2nd Author's Name Yoshihiro SUGAYA
2nd Author's Affiliation Department of Electrical and Communication Engineering, Graduate School of Engineering, Tohoku University
3rd Author's Name Hirotomo ASO
3rd Author's Affiliation Department of Electrical and Communication Engineering, Graduate School of Engineering, Tohoku University
Date 2004/6/18
Paper # NC2004-37
Volume (vol) vol.104
Number (no) 140
Page pp.pp.-
#Pages 6
Date of Issue