From semiotics, and specifically from Greimassian semiotics, ANT has learned the use of various tools – terms, categories and models – enabling the description-analysis of relations. Through their use, ANT has learned the ‘insight of relationality.’ Furthermore, by unfolding these tools and this insight, ANT has turned out to be itself a semiotics. Today, ANT can still learn new tools, as well as refined old ones. Indeed, since the 1990s, the exchange between ANT and Greimassian semiotics has faded and ANT has stopped being up-to-date about other semiotics. Given that the tools previously learned have been used only by a limited number of ANT scholars and, though with relevant exceptions, for a limited time, besides the new tools, ANT can also learn again the old ones – and actually this would be a necessary step in order to learn the new ones. This chapter has then been less of a showcase of new Greimassian semiotic tools, than a refresher of old ones and of the grounds on which the previous learning has been possible.

What can ANT still learn from semiotics? / Mattozzi, Alvise - In: The Routledge Companion to Actor-Network Theory / Blok, A., Farias, I., Roberts, C.. - STAMPA. - London : Routledge, 2019. - ISBN 978-1-138-08472-8. - pp. 87-101 [10.4324/9781315111667]

What can ANT still learn from semiotics?

Mattozzi, Alvise
2019

Abstract

From semiotics, and specifically from Greimassian semiotics, ANT has learned the use of various tools – terms, categories and models – enabling the description-analysis of relations. Through their use, ANT has learned the ‘insight of relationality.’ Furthermore, by unfolding these tools and this insight, ANT has turned out to be itself a semiotics. Today, ANT can still learn new tools, as well as refined old ones. Indeed, since the 1990s, the exchange between ANT and Greimassian semiotics has faded and ANT has stopped being up-to-date about other semiotics. Given that the tools previously learned have been used only by a limited number of ANT scholars and, though with relevant exceptions, for a limited time, besides the new tools, ANT can also learn again the old ones – and actually this would be a necessary step in order to learn the new ones. This chapter has then been less of a showcase of new Greimassian semiotic tools, than a refresher of old ones and of the grounds on which the previous learning has been possible.
2019
978-1-138-08472-8
The Routledge Companion to Actor-Network Theory
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2986522