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Data-Driven Methods for the Off-Line Generation of Fuzzy Logic Based Agents for an Intelligent Building Environment

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Ambient Intelligence is nowadays an active research field. As a key part of this concept, learning architectures for the control of the devices in an intelligent building must be developed, where the goal is to control the environment via a set of devices using an intelligent agent which should work in a non-intrusive manner to satisfy the preferences of the user. Mainly, we have focused our attention over fuzzy logic controllers (FLC) for the internal structure of the agent. The main motivation for the work described in this paper is to check different alternatives in order to select a suitable method for the off-line data driven automatic generation of FLC for the agent. We have performed the experiments with real data gathered from the Essex Intelligent Dormitory.
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Keywords: AMBIENT INTELLIGENCE; EMBEDDED AGENTS; FUZZY LOGIC SYSTEMS; MACHINE LEARNING; UBIQUITOUS COMPUTING

Document Type: Research Article

Publication date: December 1, 2007

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  • JUCI addresses the most innovative researches and developments in this multidiscipline and includes all aspects related to ubiquitous computing and ubiquitous intelligence as well as the smart world, with emphasis on methodologies, models, semantics, awareness, architectures, middleware, tools, designs, implementations, experiments, evaluations, and non-technical but crucial factors in the practical applications of ubiquitous computing and intelligence related to economics, society, culture, ethics and so on.
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