Semantic Naturalization via Interactive Perceptual Causality

Minds and Machines 18 (4):527-546 (2008)
Abstract
A novel semantic naturalization program is proposed. Its three main differences from informational semantics approaches are as follows. First, it makes use of a perceptually based, four-factor interactive causal relation in place of a simple nomic covariance relation. Second, it does not attempt to globally naturalize all semantic concepts, but instead it appeals to a broadly realist interpretation of natural science, in which the concept of propositional truth is off-limits to naturalization attempts. And third, it treats all semantic concepts as being purely abstract, so that concrete cognitive states are only indexed by them rather than instantiating them
Keywords Dispositions   Indexing theories   Informational semantics   Interactive causality   Perception   Propositions   Representation   Semantic naturalization
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