Semantic Reflection – Knowledge Based Design of Intelligent Simulation Environments

Latoschik ME (2007)
In: Proceedings of the 30th German Conference on Artificial Intelligence KI07. 481-484.

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Konferenzbeitrag | Veröffentlicht | Englisch
Abstract / Bemerkung
This paper introduces Semantic Reflection (SR), a design paradigm for intelligent applications which represents applications' objects and interfaces on a common knowledge representation layer (KRL). SR provides unified knowledge reflectivity specifically important for complex architectures of novel human-machine interface systems.
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Proceedings of the 30th German Conference on Artificial Intelligence KI07
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481-484
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KI07
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Latoschik ME. Semantic Reflection – Knowledge Based Design of Intelligent Simulation Environments. In: Proceedings of the 30th German Conference on Artificial Intelligence KI07. 2007: 481-484.
Latoschik, M. E. (2007). Semantic Reflection – Knowledge Based Design of Intelligent Simulation Environments. Proceedings of the 30th German Conference on Artificial Intelligence KI07, 481-484. doi:10.1007/978-3-540-74565-5_45
Latoschik, M. E. (2007). “Semantic Reflection – Knowledge Based Design of Intelligent Simulation Environments” in Proceedings of the 30th German Conference on Artificial Intelligence KI07 481-484.
Latoschik, M.E., 2007. Semantic Reflection – Knowledge Based Design of Intelligent Simulation Environments. In Proceedings of the 30th German Conference on Artificial Intelligence KI07. pp. 481-484.
M.E. Latoschik, “Semantic Reflection – Knowledge Based Design of Intelligent Simulation Environments”, Proceedings of the 30th German Conference on Artificial Intelligence KI07, 2007, pp.481-484.
Latoschik, M.E.: Semantic Reflection – Knowledge Based Design of Intelligent Simulation Environments. Proceedings of the 30th German Conference on Artificial Intelligence KI07. p. 481-484. (2007).
Latoschik, Marc Erich. “Semantic Reflection – Knowledge Based Design of Intelligent Simulation Environments”. Proceedings of the 30th German Conference on Artificial Intelligence KI07. 2007. 481-484.

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