| ID | 30068 |
| FullText URL | |
| Author |
Horiuchi, Tadashi
|
| Abstract | 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. |
| Keywords | Evolutionary Computations
State Evaluation Function
Neural Networks
|
| Note | 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. |
| Published Date | 2002-8
|
| Publication Title |
SICE 2002. Proceedings of the 41st SICE Annual Conference
|
| Volume | volume3
|
| Start Page | 1609
|
| End Page | 1612
|
| Content Type |
Journal Article
|
| language |
English
|
| Refereed |
True
|
| DOI | |
| Submission Path | industrial_engineering/30
|
