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Journal of Logic and Computation 2001 11(2):295-336; doi:10.1093/logcom/11.2.295
© 2001 by Oxford University Press
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Original Article

Conditional Quantification, or Poor Man's Probability

Michiel van Lambalgen1

1 ILLC, University of Amsterdam, Plantage Muidergracht 24, NL 1018 TV Amsterdam, The Netherlands. E-mail: michiell{at}wins.uva.nl

We provide a logic of incomplete information of the kind which arises when there is only coarse-grained information available about values of variables. It is shown that such information can be described by a generalized quantifier analogous to conditional expectation in probability theory.

Keywords: Incomplete information; conditioning; generalized quantification; vision

Received 24 June 1999.


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