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2007
Conference Paper
Titel
A probabilistic framework for smart homes
Abstract
This paper presents an ongoing effort to build a generic probabilistic reasoning framework for smart homes. The framework can be employed by application developers to write smart agents in a systematic and unified way. The developed modeling and reasoning algorithms make an extensive use of the knowledge about the user and the way he/she interacts with the system. To achieve this, several levels of knowledge representation are combined. Each level enriches the domain knowledge in a way that eventually a consistent and user-adaptable probabilistic knowledge base is constructed. The facts in this knowledge base can be used to encode the expert knowledge for a specific application scenario.
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