Abstract
In this paper we argue that the development of knowledge-based Systems built to work in partially uncertain domains benefit from The use of different conceptualizations for certain and uncertain parts Of the knowledge. We present conceptualizations 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 theses conceptualizations We propose a translation approach that aims at an integration of These conceptualizations in a common knowledge model that can be used In a knowledge engineering process.
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U. Gappa and F. Puppe. A study of knowledge acquisition — experiences from the Sisyphus III experiment for rock classification. In Proceedings of the 11th Workshop Knowledge Acquisition for Knowledge-Based Systems, Banff, Alberta Canada 1988.
H. E. Kyburg. Probabilistic acceptance. In Dan Geiger and Prakash Shenoy, editors, Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence, San Francisco, 1997. Morgan Kaufmann Publishers.
J. Pearl. Structural and probabilistic causality. In. D.R. Shanks, K.J. Holyoak, and D.L. Medin, editors, The Psychology of Learning and Motivation, volume 34: Causal Learning, pages 393–435. Academic Press, San Diego, CA, 1996.
K.C. Ranze and H. Stuckenschmidt. Modelling uncertainty in expertise. In Jose Cuena, editor, IT & KNOWS Information Technologies and Knowledge Systems, Proceeding sof the XV. IFIP World Computer Congress, Serial Publication of the Austraian Computer Society, pages 105–118, Vienna/Budapest, September 1998.
A. Saffiotti and E. Umkehrer. PULCINELLA — a general tool for propagating uncertainty in valuation networks. In Proceedings of the 7th Conference on Uncertainty in AI, pages 323–331, Los Angeles, CA, 1991.
Guus Schreiber, Bob Wielinga, and Joost Breuker, editors, KADS: A Principled Approach to Knowledge-Based Systems Development, volume 11 of Knowledge-Based Systems, Academic Press, 1993.
P.P. Shenoy. Valuation-based systems: A framework for managing uncertainty in expert systems. In L.A. Zadeh and J. Kacprzyk, editors, Fuzzy Logic for the Management of Uncertainty. Wiley and Sons, 1989
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Stuckenschmidt, H., Christoph Ranze, K. (1999). A Flexible Framework for Uncertain Expertise. In: Fensel, D., Studer, R. (eds) Knowledge Acquisition, Modeling and Management. EKAW 1999. Lecture Notes in Computer Science(), vol 1621. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48775-1_32
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DOI: https://doi.org/10.1007/3-540-48775-1_32
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