| ID | 30068 |
| フルテキストURL | |
| 著者 |
Horiuchi, Tadashi
Matsue National College of Technology
|
| 抄録 | In this paper, we propose a constitution method of game player agent that adopts a neural network as a state evaluation function for the game player, and evolves its weights and structure by evolutionary strategy. In this method, we attempt to acquire a better state evaluation function by evolving weights and structure simultaneously. |
| キーワード | Evolutionary Computations
State Evaluation Function
Neural Networks
|
| 備考 | Published with permission from the copyright holder. This is the institute's copy, as published in SICE 2002. Proceedings of the 41st SICE Annual Conference, 5-7 Aug. 2002, Vol. 3, Pages 1609-1612.
Publisher URL:http://ieeexplore.ieee.org/search/wrapper.jsp?arnumber=1196552 Copyright © 2002 IEEE. All rights reserved. |
| 発行日 | 2002-8
|
| 出版物タイトル |
SICE 2002. Proceedings of the 41st SICE Annual Conference
|
| 巻 | 3巻
|
| 開始ページ | 1609
|
| 終了ページ | 1612
|
| 資料タイプ |
学術雑誌論文
|
| 言語 |
英語
|
| 査読 |
有り
|
| DOI | |
| Submission Path | industrial_engineering/30
|
