RCS: A cognitive architecture for intelligent multi-agent systems

被引：27
|
作者：
Albus, JS [1 ]
Barbera, AJ [1 ]
机构：
[1] Natl Inst Stand & Technol, Intelligent Syst Div, Mfg Engn Lab, Gaithersburg, MD 20899 USA
来源：
ANNUAL REVIEWS IN CONTROL | 2005年 / 29卷 / 01期
关键词：
cognitive architectures; unmanned vehicles; intelligent machines; knowledge-based control; knowledge representation; recursive estimation; systems engineering; image processing;
D O I：
10.1016/j.arcontrol.2004.12.003
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Real-time control system (RCS) is a cognitive architecture designed to enable any level of intelligent behavior, up to and including human levels of performance. RCS consists of a multi-layered multi-resolutional hierarchy of computational agents each containing elements of sensory processing (SP), world modeling (WM), value judgment (VJ), behavior generation (BG), and a knowledge database (KD). At the lower levels, these agents generate goal-seeking reactive behavior. At higher levels, they enable decision-making, planning, and deliberative behavior. At all levels, the architecture supports signal grounding and abductive inference. A methodology is described for designing RCS systems, and experimental results are presented from a series of performance tests designed to measure technology readiness. (C) 2005 Elsevier Ltd. All rights reserved.
引用
收藏
页码：87 / 99
页数：13
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