Titlebook: KI 2005: Advances in Artificial Intelligence; 28th Annual German C Ulrich Furbach Conference proceedings 2005 Springer-Verlag Berlin Heidel

孵卵器

減去

propose

Hyperalgesia

A New ,-Ary Existential Quantifier in Description Logicsxistential restriction constructor, which generalizes both the usual existential restrictions and so-called qualified number restrictions. We show that the new constructor can be expressed in ., the extension of the basic DL . by qualified number restrictions. However, this representation results in

Criteria

Subsumption in , w.r.t. Hybrid TBoxes support of general TBoxes containing general concept inclusion (GCI) axioms, and secondly, non-standard inference services facilitating knowledge engineering tasks, such as build-up and maintenance of terminologies (TBoxes)..In order to make non-standard inferences available without sacrificing the

Occlusion

Dependency Calculus: Reasoning in a General Point Relation Algebraissues. In contrast, we present a new dependency calculus (.) that is created for specific questions of reasoning about causal relations and consequences. Applications in the field of spatial representation and reasoning are, for instance, modeling traffic networks, ecological systems, medical diagn

泥沼

Temporalizing Spatial Calculi: On Generalized Neighborhood Graphse, but also how they can change their position, shape, and size over time. In this paper we investigate how calculi discussed in the field of qualitative spatial reasoning (QSR) can be temporalized in order to gain reasoning formalisms that can be used to express spatial configurations and their dyn

Progesterone

Design of Geologic Structure Models with Case Based Reasoningground by retrieving and adapting old projects. Projects are divided in several complex cases consisting of pairs of drilling cores with their outcrop and the spatial context. A three-step retrieval algorithm (1) selects structurally similar candidate cases, (2) estimates the quality of a transfer o

STELL

Applying Constrained Linear Regression Models to Predict Interval-Valued Dataporated the information contained in the ranges of the intervals and that presented a better performance when compared with the Billard and Diday method. However, both methods do not guarantee that the predicted values of the lower bounds (?.).will be lower than the predicted values of the upper bou

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