Title
Nonmonotonic inference based on expectations
Abstract
We show how nonmonotonic inferences may elegantly be interpreted in terms of underlying expectations. The fundamental idea is that when we reason, we make use of not only the information that we firmly believe, but also expectations that guide our beliefs without quite being part of them. We propose two ways of modelling the expectations used in nonmonotonic reasoning: by expectation sets, equipped with selection functions, and by expectation relations. For each of these we prove representation theorems and establish relations with several other modellings in the area, including Poole systems and preferential models. We also show that by using the notion of expectation, one can unify the treatment of the theory of belief revision and that of nonmonotonic inference relations. This is accomplished by viewing the relation of 'epistemic entrenchment' used in Gärdenfors (1988) and Gärdenfors and Makinson (1988) as a kind of expectation ordering. Thus we see belief revision and nonmonotonic reasoning as basically the same process, albeit used for two different purposes.
Year
DOI
Venue
1994
10.1016/0004-3702(94)90017-5
Artif. Intell.
Keywords
Field
DocType
nonmonotonic inference,nonmonotonic reasoning,belief revision
Inference,Artificial intelligence,Non-monotonic logic,Belief revision,Mathematics
Journal
Volume
Issue
ISSN
65
2
0004-3702
Citations 
PageRank 
References 
136
10.04
19
Authors
2
Search Limit
100136
Name
Order
Citations
PageRank
Peter Gärdenfors11699183.78
David Makinson213610.04