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2007
Conference Paper
Titel
An adaptive rule-based inference engine for realising reasonable behaviour of smart environments
Abstract
This paper presents the implementation of an inference engine for modelling reliable behaviour of smart environments. Here especially user's individual variables are taken into consideration. By discussing example scenarios in smart meeting rooms the requirements for such an inference engine are given and its implementation as well as its underlying semantical principles is discussed in detail. The inference process here establishes some novel metaphors for describing reasonable behaviour with rules: the consideration of event sequences and thus the consideration of subsequent user activities as well as the possibility to freely define variables that should be considered during the inference processes. This kind of adaptiveness makes the adaptation of the system to various application scenarios possible and allows an individualization of smart environment's behaviour.