| Presentation | 2005/1/17 Quantitative Modeling for Personal Construct and Probabilistic Reasoning Yoichi MOTOMURA, Takeo KANADE, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | We start the research project that realizes computational models of human's cognitive and psychological functions. In this project, quantitative modeling for personal construct is essentially important and also it has many important applications from information technological point of view. In this research, we propose the method that constructs skeleton by evaluation grid method, applies statistical learning of Bayesian networks to obtain quantitative models, and then executes probabilistic reasoning algorithms. We also discuss about practical applications using this framework. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | personal construct / probabilistic reasoning / Bayesian network / evaluation grid method |
| Paper # | NC2004-119 |
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| Committee | NC |
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| Conference Date | 2005/1/17(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Neurocomputing (NC) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Quantitative Modeling for Personal Construct and Probabilistic Reasoning |
| Sub Title (in English) | |
| Keyword(1) | personal construct |
| Keyword(2) | probabilistic reasoning |
| Keyword(3) | Bayesian network |
| Keyword(4) | evaluation grid method |
| 1st Author's Name | Yoichi MOTOMURA |
| 1st Author's Affiliation | Digital Human Research Center, National Institute of Advanced Industrial Science and Technology() |
| 2nd Author's Name | Takeo KANADE |
| 2nd Author's Affiliation | Digital Human Research Center, National Institute of Advanced Industrial Science and Technology |
| Date | 2005/1/17 |
| Paper # | NC2004-119 |
| Volume (vol) | vol.104 |
| Number (no) | 585 |
| Page | pp.pp.- |
| #Pages | 6 |
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