Jochen Heinsohn

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On the one hand, class ical terminological knowledge representation excludes the possi­ bility of handling uncertain concept descrip­ tions involving, e.g., "usually true" concept properties, generalized quantifiers, or excep­ tions. On the other hand, purely numer­ ical approaches for handling uncertainty in general are unable to consider terminologi­ cal(More)
The family of terminological representation systems has its roots in the representation system kl-one. Since the development of this system more than a dozen similar representation systems have been developed by various research groups. These systems vary along a number of dimensions. In this paper, we present the results of an empirical analysis of six(More)
In this report we deene a probabilistic extension for a basic terminologi-cal knowledge representation languages. Two kinds of probabilistic statements are introduced: statements about conditional probabilities between concepts and statements expressing uncertain knowledge about a speciic object. The usual model-theoretic semantics for terminological logics(More)
—An intelligent robot platform for autonomous systems with vision capabilities has been developed by the University of Applied Sciences Brandenburg in cooperation with SME's. The system will be suitable as a research and education platform for universities, a basis for industrial applications and for private developers of robots. This paper presents an(More)