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An adaptive rule-based inference engine for realising reasonable behaviour of smart environments

 
: Hellenschmidt, Michael

Olivier, P. ; The Society for the Study of Artificial Intelligence and the Simulation of Behaviour -SSAISB-:
AISB 2007, Artificial and Ambient Intelligence. Proceedings : April 2nd-4th 2007, Newcastle University, Newcastle upon Tyne, UK
Newcastle, 2007
S.84-89
Society for the Study of Artificial Intelligence and Simulation of Behaviour (SSAISB Annual Convention) <2007, Newcastle, UK>
Englisch
Konferenzbeitrag
Fraunhofer IGD ()
ambient intelligence; artificial intelligence; AI; agent-based system; Inference engine; smart environment

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.

: http://publica.fraunhofer.de/dokumente/N-55399.html