Directions in AI Research and Applications at Siemens Corporate Research and Development

Wolfram Buettner, Klaus Estenfeld, Hans Haugenederr, Peter Struss

Abstract


Many barriers exist today that prevent effective industrial exploitation of current and future AI research. These barriers can only be removed by people who are working at the scientific forefront in AI and know potential industrial needs. The Knowledge Processing Laboratory's research and development concentrates in the following areas: (1) natural language interfaces to knowledge-based systems and databases; (2) theoretical and experimental work on qualitative modeling and nonmonotonic reasoning for future knowledge-based systems; (3) application-specific language design, in particular, Prolog extensions; and (4) desi gn and analysis of neural networks. This article gives the reader an overview of the main topics currently being pursued in each of these areas.

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DOI: http://dx.doi.org/10.1609/aimag.v11i1.822

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