Knowledge-based recommenders support an easier comprehension of complex item assortments (e.g., financial services and electronic equipment). In this paper we show (1) how such recommenders can be developed in a Human Computation based knowledge acquisition environment (PEOPLEVIEWS) and (2) how the resulting recommendation knowledge can be exploited in a competition-based e-Learning environment...

Today, most visualization systems available on the market lack of flexibility regarding their visualization process with respect to either their interaction possibilities or their rendering quality. In order to satisfy individual user demands and to adapt to changing system loads and different hardware configurations, multi agent technology is combined with the component-based implementation of...

Benno Stein Mar us Ho mann Department of Mathemati s and Computer S ien e / Knowledge-based Systems University of Paderborn, D 33095 Paderborn, Germany Email: stein uni-paderborn.de Abstra t: Case-based reasoning (CBR), sometimes also alled reasoning by remembering , has shown su ess espe ially in elds where human problem solving me hanisms are either partly understood or annot be resembled pro...

global representation is able to incorporate all the relevant information for monitoring and supervising the manufacturing. In addition it should provide the operator interface with all the information required by the operator. Finally, such an object-based architecture will constitute an open representational system, which is able to represent additional information and knowledge when found us...

In many knowledge-based systems the used knowledge is distributed among several knowledge sources. These knowledge sources may have dependencies between each other, which should be considered when maintaining these sources. An integrated maintenance approach for multiple Case-Based Reasoning (CBR) systems has to consider dependencies between the individual knowledge containers within one CBR sy...

The paper discusses a proposal of a formal description of ARD+ a conceptual design and hierarchical refinement method for knowledge-based systems. Formalization of method syntax is given, as well as description of its semantics. ARD+ is a rework of the classic ARD presented elsewhere, that provides a conceptual design for rule-based systems. ARD+ is based on the concept of gradual design where ...

The extraction of reusable software components from existing systems is an attractive idea. The goal of the work in this paper is not to extract a component automatically, but to identify its tightly coupled region (subsystem) for extraction by hand or knowledge-based system. Much of our experience is anecdotal. Our experience with scientific systems differs from much of the work in reverse eng...

Oil well drilling is a complex process which frequently leads to operational problems. In order to deal with some of these problems, knowledge intensive case based reasoning (KiCBR) has clearly shown potential. An important problem in drilling is hole cleaning, in which a high number of observed parameters and other features are involved. This paper presents how to determine the root causes of ...

While hypothetical reasoning is a useful knowledge system framework that is applicable to many practical problems, its crucial problem is its slow inference speed. The paper presents a speedup method for hypothetical reasoning systems that uses an experience-based learning mechanism which can learn knowledge from inference experiences to improve the inference speed in subsequent inference proce...

This paper describes a robot manipulator system currently under development which learns assembling technique from observation of skilled worker’s demonstrations. The system is an application of EBL (Explanation-Based Learning) to the robot manufacturing domain. The system improves the operating capability of the robot manipulator through observing, analyzing the skilled worker’s assembling ope...