Abstract
This paper aims at bridging together the fields of Uncertain Reasoning and Knowledge Representation. The bridge we propose consists in the definition of a Hybrid Belief System, a general modular system capable of performing uncertain reasoning on structured knowledge. This system comprises two distinct modules, UR-mod and KR-mod: the UR-mod provides the uncertainty calculus used to represent uncertainty about our knowledge; this knowledge itself is in turn represented by the linguistic structures made available by the KR-mod. An architecture is drawn for this system grounded on a formal framework, and examples are given using Dempster-Shafer theory or probabilities as UR-mod, and first order logic or Krypton as KR-mod. An ATMS-based algorithm for a Hybrid Belief System is hinted at.
This research has been partially supported by the ARCHON project, which is funded by grants from the Commission of the European Communities under the ESPRIT-II Program, P-2256; the partners in this project are: Krupp Atlas Elektronik GmbH, Amber, CERN, CNRG-NTUA Athens, Electricity Council Research Centre, Framentec, FWI Univ. of Amsterdam, Iberduero, Iridia Univ. Libre de Bruxelles, JRC Ispra, Labein, Volmac, Univ. of Porto, Queen Mary and Westfield College.
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© 1991 Springer-Verlag Berlin Heidelberg
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Saffiotti, A. (1991). A hybrid belief system for doubtful agents. In: Bouchon-Meunier, B., Yager, R.R., Zadeh, L.A. (eds) Uncertainty in Knowledge Bases. IPMU 1990. Lecture Notes in Computer Science, vol 521. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0028126
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DOI: https://doi.org/10.1007/BFb0028126
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