Rule-based modelling of intelligent environment behaviour

Autor: Hellenschmidt, Michael, Wichert, Reiner
Přispěvatelé: Publica
Jazyk: angličtina
Rok vydání: 2007
Předmět:
Popis: This paper presents the realisation of an inference engine for modelling intelligent behaviour of smart environments. Such a kind of technology is one of the key issues for implementing the vision of Ambient Intelligence. The paper discusses some example scenarios to extract the requirements for such an inference engine and describes its underlying semantical principles and its implementation in detail. The inference process here establishes two novel metaphors for describing reasonable behaviour with rules: the consideration of event sequences and the facility to describe an interdependent cascade of function calls for defining inferred environment manipulations. Furthermore we provide an outlook on the PERSONA project which builds on these ideas and aims at developing a technology platform that meets the requirements of various Ambient Intelligence scenarios.
Databáze: OpenAIRE