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Copies and Dependence.

Authors: Massimiliano Carrara; Vittorio Morato;

Copies and Dependence.

Abstract

It seems natural to define the relation of "being a copy of" by means of the notion of similarity. While similarity is essential in the characterisation of the copying relation, a simple similarity account of such a relation does not seem to work. Counterexamples are easy to find. In this paper, we defend the idea that the copying relation should also be characterised by means of a dependence relation. It is not easy, however, to understand what kind of dependence relation is the right one. We will show that ontological and counterfactual forms of dependence are modally too strong and we, provisionally, try to use the modally weaker notion of historical dependence. Ontological, counterfactual and historical dependence share the common feature of being rigid notions of dependence. In the final section of the paper, we briefly discuss the idea that there might be non-rigid kinds of copying that therefore need to be characterised by means of non-rigid kinds of dependence.

Country
Italy
Keywords

copies, similarity, ontological dependence, counterfactual dependence, historical dependence, artifacts

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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