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—In this paper, we describe a novel lifelong learning approach for intelligent agents that are embedded in intelligent environments. The agents aim to realize the vision of ambient intelligence in intelligent inhabited environments (IIE) by providing ubiquitous computing intelligence in the environment supporting the activities of the user. An unsupervised,(More)
In this paper, we present a novel approach for realising the vision of ambient intelligence in Ubiquitous Computing Environments (UCEs). This approach is based on embedding intelligent agents in UCEs. These agents are based on type-2 fuzzy systems which are able to handle the different sources uncertainty and imprecision in UCEs to give a good response. We(More)
In this paper, we describe a novel system for learning and adapting type-2 fuzzy controllers for intelligent agents that are embedded in Ubiquitous Computing Environments (UCE). Our type-2 agents learn online in a non intrusive manner and in a life long learning mode the user behaviours to control the UCE on the user's behalf. We have performed unique(More)
From its inception research in Affective Computing has inspired a new generation of applications aimed at improving the interaction between humans and machines. Car driver concentration monitoring, Adaptive Computer Interfaces that react to affective states, e-learning systems that convey students' emotions and homes that cater for affective therapy are all(More)
This paper presents the development of a neuro-fuzzy agent for ambient-intelligence environments. The agent has been implemented as a system-on-chip (SoC) on a reconfigurable device, i.e., a field-programmable gate array. It is a hardware/software (HW/SW) architecture developed around a MicroBlaze processor (SW partition) and a set of parallel intellectual(More)