A fuzzy incremental synchronous learning technique for embedded-agents learning and control in intelligent inhabited environments
Hani Hagras, Martin Colley, Vic Callaghan, Graham S. Clarke, Hakan Duman, A. Holmes · 2003
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.