PULCinella: a general tool for propagating uncertainty in valuation networks
Proceedings of the seventh conference (1991) on Uncertainty in artificial intelligence
Valuation-based systems: a framework for managing uncertainty in expert systems
Fuzzy logic for the management of uncertainty
UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
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In this paper we argue that the development of knowledgebased ststems built to work in partially uncertain domains benefit from the use of different conceptualisations for certain and uncertain parts of the knowledge. We present conceptualisations that have proven to be useful, namely the KADS model of expertise and a causal model of uncertainty that reflects well known approaches to uncertain reasoning like Bayesian belief nets. After a brief introduction to these conceptualisations we propose a translation approach that aims at an integration of these conceptualisations in a common knowledge model that cab be used in a knowledge engineering process.