JELIA 2004
Logical Connectives for Nonmonotonicity: A Choice Function-Based Approach
Abstract
Abstract Several semantics for logics that model defeasible inference are based on the idea that not all models of a set F of classical formulas should be considered, but only some of them, the preferred ones. Recently, Daniel Lehmann proved that a very general family of nonmonotonic inference relations can be obtained by using choice functions, that pick some of the models of a given set of logical formulas. However, in this setting the choice function is fixed. This paper describes a semantics where the choice function is defined by formulas: instead of associating a set of models with each formula of the language, we associate a choice function which picks some models. The choice functions are defined for atomic formulas first, and then inductively for every formula, using for each connective a corresponding operator for combining choice functions. We show that this approach generalises classical logic: the choice function associated to a classical formula ϕ is the function that picks, from a set of models M, the elements of M that satisfy ϕ in the classical sense. We then describe operations on choice functions that correspond to connectives meaning for example: “p if it is consistent” or “p prior to q”.
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Context
- Venue
- European Conference on Logics in Artificial Intelligence
- Archive span
- 2000-2023
- Indexed papers
- 542
- Paper id
- 273559878680903225