A type-2 fuzzy embedded agent to realise ambient intelligence in ubiquitous computing environments

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• 作者：Doctor ; Faiyaz ; Hagras ; Hani ; Callaghan ; Victor
• 关键词：Type-2 fuzzy logic systems ; Type-2 fuzzy logic controllers ; Learning ; Ambient intelligence ; Embedded agents ; Ubiquitous computing environments
• 刊名：Information Sciences
• 出版年：2005
• 出版时间：May 13, 2005
• 年：2005
• 卷：171
• 期：4
• 页码：309-334
• 全文大小：519 K

文摘

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 use type-2 fuzzy systems which are able to handle the different sources of uncertainty and imprecision in UCEs to give a good response. We have developed a novel system for learning and adapting the type-2 fuzzy agents so that they can realise the vision of ambient intelligence by providing a seamless, unobtrusive, adaptive and responsive intelligence in the environment that supports the activities of the user. The user’s behaviours and preferences for controlling the UCE are learnt online in a non-intrusive and life long learning mode so as to control the UCE on the user’s behalf. We have performed unique experiments in which the type-2 intelligent agent has learnt and adapted online to the user’s behaviour during a stay of five days in the intelligent Dormitory (iDorm) which is a real UCE test bed. We will show how our type-2 agents can deal with the uncertainty and imprecision present in UCEs to give a very good response that outperforms the type-1 fuzzy agents while using smaller rule bases.