| Presentation | 1999/5/27 Quasi-Intuition and Quasi-Instinct Ken NAITOH, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | A quasi intuition (QI) model and quasi instinct-reason (QIR) model are proposed on the basis of the biological data and mathematical considerations. The plastic artificial brain including artificial neural networks, genetic algorithms, the QI, and the QIR makes it possible to grasp the environment accurately and to accelerate learning processes. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Artificial Brain / Artificial Intuition / Quasi Instinct-Reason / Learning / Versatility / Plasticity |
| Paper # | AI99-6 |
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| Conference Information | |
| Committee | AI |
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| Conference Date | 1999/5/27(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
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| Paper Information | |
| Registration To | Artificial Intelligence and Knowledge-Based Processing (AI) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Quasi-Intuition and Quasi-Instinct |
| Sub Title (in English) | |
| Keyword(1) | Artificial Brain |
| Keyword(2) | Artificial Intuition |
| Keyword(3) | Quasi Instinct-Reason |
| Keyword(4) | Learning |
| Keyword(5) | Versatility |
| Keyword(6) | Plasticity |
| 1st Author's Name | Ken NAITOH |
| 1st Author's Affiliation | Nissan Research Center() |
| Date | 1999/5/27 |
| Paper # | AI99-6 |
| Volume (vol) | vol.99 |
| Number (no) | 95 |
| Page | pp.pp.- |
| #Pages | 7 |
| Date of Issue | |