A fuzzy incremental synchronous learning technique for embedded-agents learning and control in intelligent inhabited environments
- 25 June 2003
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
Abstract
In this paper we introduce a novel learning and adaptation system for embedded-agents embodied and situated in intelligent inhabited environments. The fuzzy incremental synchronous learning (ISL) techniques we describe seek to provide an online, life-long, non-intrusive method for learning personalised behaviour and anticipatory adaptive control for physical environments.Keywords
This publication has 5 references indexed in Scilit:
- Hive: distributed agents for networking thingsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- The Intelligent Room projectPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Fuzzy logic in autonomous robotics: behavior coordinationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Outdoor mobile robot learning and adaptationIEEE Robotics & Automation Magazine, 2001
- Robot shaping: developing autonomous agents through learningArtificial Intelligence, 1994