Abstract
A number of writers have suggested that specificity can be called upon to adjudicate competing default inferences. In the foundations of statistics, specificity is one of several ways to adjudicate the claims of competing reference classes. This suggests that in default inferences also other principles than specificity may be needed. This paper gives examples substantiating this suggestion, and provides formulations of the few other principles needed.
Research on which this work was based was supported in part under a contract from the U. S. Army Signal Warfare Center.
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© 1991 Springer-Verlag Berlin Heidelberg
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Kyburg, H.E. (1991). Beyond specificity. 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/BFb0028105
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DOI: https://doi.org/10.1007/BFb0028105
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