A pre-semantics for counterfactual conditionals and similar logics
classification
💻 cs.AI
math.LO
keywords
counterfactualdistancesmodelspre-semanticsworldalwaysatomicbegin
read the original abstract
The elegant Stalnaker/Lewis semantics for counterfactual conditonals works with distances between models. But human beings certainly have no tables of models and distances in their head. We begin here an investigation using a more realistic picture, based on findings in neuroscience. We call it a pre-semantics, as its meaning is not a description of the world, but of the brain, whose structure is (partly) determined by the world it reasons about. In the final section, we reconsider the components, and postulate that there are no atomic pictures, we can always look inside.
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