| タイトル | Using Collective Intelligence to Route Internet Traffic |
| 本文（外部サイト） | http://hdl.handle.net/2060/20040055384 |
| 著者（英） | Tumer, Kagan; Frank, Jeremy; Wolpert, David H. |
| 著者所属（英） | Caelum Research Corp.|NASA Ames Research Center |
| 発行日 | 1998-01-01 |
| 言語 | eng |
| 内容記述 | A Collective Intelligence (COIN) is a community of interacting reinforcement learning (RL) algorithms designed so that their collective behavior maximizes a global utility function. We introduce the theory of COINs, then present experiments using that theory to design COINs to control internet traffic routing. These experiments indicate that COINs outperform previous RL-based systems for such routing that have previously been investigated. |
| NASA分類 | Computer Systems |
| 権利 | No Copyright |
| URI | https://repository.exst.jaxa.jp/dspace/handle/a-is/89214 |
