
doi: 10.1007/bf01049408
An operation of contraction for a set \(A\) of sentences is an operation such that for any sentence \(\alpha\), \(A - \alpha\), the outcome of contracting \(A\) by \(\alpha\), is a subset of \(A\) that does not imply \(\alpha\) (unless \(\alpha\) is logically true). This paper is concerned with the operation \(-\) of contraction on a theory \(K\) that can be derived from an operation \(\div\) of contraction on a base \(B\) for \(K\) (i.e., a set \(B\) such that \(\text{Cn}(B) = K\)) according to the principle \(K - a = \text{Cn} (B \div a)\). The paper starts from previous work by \textit{A. Fuhrmann} [J. Philos. Logic 20, No. 2, 175-203 (1991; Zbl 0723.03010)] in which the operation \(\div\) on the base is essentially a variant of save contraction, as defined by \textit{C. Alchourrón} and \textit{D. Makinson} [Stud. Logica 44, 405-422 (1985; Zbl 0605.03002)]. The author attempts to find conditions on \(\div\) that are sufficient for -- to satisfy the so-called supplementary postulates for rational belief contraction that have been introduced by Peter Gärdenfors. After showing that even quite strong restrictions on Fuhrmann's construction are insufficient to yield these properties, the author introduces a modified construction with the desired properties. This construction involves a modification of safe contraction to make it maxichoice, i.e., to ensure that \(B \div \alpha\) is a maximal subset of \(B\) that does not imply \(\alpha\).
Logic in artificial intelligence, belief revision, theory change, rational belief contraction, Other nonclassical logic, safe contraction
Logic in artificial intelligence, belief revision, theory change, rational belief contraction, Other nonclassical logic, safe contraction
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 17 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
