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In this paper, we argue that KBS validation should not be limited to testing functional properties of the system, such as its input - output behavior, but must also address its dy...
Weintroducethe fuzzymeasureas a unifyingstructure for modelingknowledgeabout an uncertain variable. Weshowthat a large class of well establishedtypes of uncertainty representation...
Wereviewand extendthe qualitative relationships about the informational relevanceof variables in graphical decision modelsbased on conditional independenciesrevealedthroughgraphic...
: This paper describes a long-terra project to install socially interactive, autonomousmobile robots in public spaces. We have deployed four robots over the last three years, accum...
Lessons learned systems (LLS) are systems that support a lessons learned process (LLP) to collect, verify, store, disseminate, and reuse organizational lessons. In this paper we e...
This paper describes the implementationof a decision support systemthat helps non-technicalfront-line reception staff handle complex enquiries on a wide range of local government ...
This paper demonstrates that case-based reasoning is ideally suited to the creation of knowledge management systems. This is because of the close match between the activities of t...
This paper presents preliminary work on the design of control systems for pedestrian mobility aids for the elderly. The elderly are often restricted in their mobility and must rel...
Glenn S. Wasson, James P. Gunderson, Sean Graves, ...
We present an objective approach for evaluating probability elicitation methods in probabilistic models. Our method draws on ideas from research on learning Bayesian networks: if ...