Connectionist Learning in Behaviour-Based Mobile Robots: A Survey

被引：0
|
作者：
Mark Rylatt
Chris Czarnecki
Tom Routen
机构：
[1] De Montfort University,Department of Computer Science
来源：
Artificial Intelligence Review | 1998年 / 12卷
关键词：
architectures for autonomous robots; artificial neural networks; behaviour-based robots; emergent properties; reinforcement learning; supervised learning; unsupervised learning;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This paper is a survey of some recentconnectionist approaches to the design and developmentof behaviour-based mobile robots. The research isanalysed in terms of principal connectionist learningmethods and neurological modeling trends. Possibleadvantages over conventionally programmed methods areconsidered and the connectionist achievements to dateare assessed. A realistic view is taken of theprospects for medium term progress and someobservations are made concerning the direction thismight profitably take.
引用
收藏
页码：445 / 468
页数：23
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