| Presentation | 2004/3/12 Modeling of problem solving processes by combination of multiple functional areas in brain Akitoshi OGAWA, Takashi OMORI, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | A characteristic feature of conventional intelligent agents is that many trials are required for them to learn. Because tasks they encounter change depending on environment, it is difficult to compress the learning time by using a priori knowledge. In the real world, however, agents confront a whole range of new tasks one by one, and have to solve them one by one without consuming time for learning. The amount of learning time needed is a serious problem for the real-world agent. We suppose that one reason for the long learning time is the unuse of prior knowledge. It is natural to expect that a fast adaptation to a task would be possible when we can reuse knowledge that is acquired from past experience. For this problem, in this paper we propose a neural network learning system that can immediately solve a set of similar tasks by reusing knowledge that is already acquired. We adopt a navigation task as an example of a set of similar tasks and show the effectiveness of our method in variations of the tasks by comparing its performance with other methods. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Knowledge reuse / Fast adaptation / Neural network / Navigation / Genetic algorithm |
| Paper # | NC2003-194 |
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| Committee | NC |
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| Conference Date | 2004/3/12(1days) |
| Place (in Japanese) | (See Japanese page) |
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| 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) | Modeling of problem solving processes by combination of multiple functional areas in brain |
| Sub Title (in English) | |
| Keyword(1) | Knowledge reuse |
| Keyword(2) | Fast adaptation |
| Keyword(3) | Neural network |
| Keyword(4) | Navigation |
| Keyword(5) | Genetic algorithm |
| 1st Author's Name | Akitoshi OGAWA |
| 1st Author's Affiliation | Graduate School of Engineering, Hokkaido University() |
| 2nd Author's Name | Takashi OMORI |
| 2nd Author's Affiliation | Graduate School of Engineering, Hokkaido University |
| Date | 2004/3/12 |
| Paper # | NC2003-194 |
| Volume (vol) | vol.103 |
| Number (no) | 734 |
| Page | pp.pp.- |
| #Pages | 6 |
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