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https://dx.doi.org/10.4230/dag...
Article . 2007
License: CC BY
Data sources: Datacite
DBLP
Conference object . 2018
Data sources: DBLP
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Two-Dimensional Belief Change

Authors: Rott, Hans;

Two-Dimensional Belief Change

Abstract

The idea of two-dimensional belief change operators is that a belief state is transformed by an input sentence $A$ in such a way that $A$ gets accepted with at least the strength or certainty of a sentence $B$ (the reference sentence). The input of such a transformation may alternatively be conceived as `$B leq A$' [`$B$ less-than-or-equal-to $A$']. This notation makes explicit that the process induced is basically one of doxastic preference change. The principal case of two-dimensional belief change obtains when $B$ is a prior belief which is more strongly accepted than both $A$ and $ eg A$, but the non-principal cases are interesting in their own right. Various two-dimensional revision operators were studied by Cantwell (1997, `raising' and `lowering'), Fermé and Rott (2003, `revision by comparison'), and Rott (2007, `bounded revision'). Special choices of a fixed input sentence $A$ or a fixed reference sentence $B$ lead to some well-known unary oparators of belief change: `irrevocable' (aka `radical') revision, `severe withdrawal' (aka `mild contraction'), `natural' (aka `conservative') and `lexicographic' (aka `moderate') revision. The talk gives a survey of several variants of two-dimensional belief change and their representations. I argue that two-dimensional belief change operators offer an interesting qualitative model with an expressive power between (all too poor) unary operators and (all too demanding) quantitative models of belief change.

Country
Germany
Keywords

moderate revision, Belief revision, qualitative vs. quantitative change, conservative revision, severe withdrawal, preference change, radical revision, 004

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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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green