RCS: A Cognitive Architecture for Intelligent Multi-Agent Systems
James S. Albus, Tony Barbera
RCS (Real-time Control System) is a cognitive architecture designed to enable any level of intelligent behavior, up to and including human levels of performance. RCS was inspired 30 years ago by a theoretical model of the cerebellum, the portion of the brain responsible for fine motor coordination and control of conscious motions. It was originally designed for sensory-interactive goal-directed control of laboratory manipulators. Over three decades, it has evolved into a real-time control architecture for intelligent machine tools, factory automation systems, and intelligent autonomous vehicles. 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.
July 5-7, 2004
Lisbon, 1, PO
5th IFAC/EURON Symposium on Intelligent Autonomous Vehicles, IAV 2004
and Barbera, T.
RCS: A Cognitive Architecture for Intelligent Multi-Agent Systems, 5th IFAC/EURON Symposium on Intelligent Autonomous Vehicles, IAV 2004, Lisbon, 1, PO, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=822517
(Accessed November 28, 2023)