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Social epistemic actions

Published online by Cambridge University Press:  28 May 2020

Giovanni Pezzulo Open the ORCID record for Giovanni Pezzulo [Opens in a new window] ,
Laura Barca ,
Domenico Maisto  and
Francesco Donnarumma
Giovanni Pezzulo
Affiliation:
Institute of Cognitive Sciences and Technologies, National Research Council, Rome 00185, Italy. giovanni.pezzulo@istc.cnr.itlaura.barca@istc.cnr.itfrancesco.donnarumma@istc.cnr.ithttps://sites.google.com/site/giovannipezzulo/homehttps://sites.google.com/site/laurabarcahomepage/home https://www.istc.cnr.it/it/people/francesco-donnarumma
Laura Barca
Affiliation:
Institute of Cognitive Sciences and Technologies, National Research Council, Rome 00185, Italy. giovanni.pezzulo@istc.cnr.itlaura.barca@istc.cnr.itfrancesco.donnarumma@istc.cnr.ithttps://sites.google.com/site/giovannipezzulo/homehttps://sites.google.com/site/laurabarcahomepage/home https://www.istc.cnr.it/it/people/francesco-donnarumma
Domenico Maisto
Affiliation:
Institute for High Performance Computing and Networking, National Research Council, Naples 80131, Italy. domenico.maisto@icar.cnr.it https://www.icar.cnr.it/persone/maisto/
Francesco Donnarumma
Affiliation:
Institute of Cognitive Sciences and Technologies, National Research Council, Rome 00185, Italy. giovanni.pezzulo@istc.cnr.itlaura.barca@istc.cnr.itfrancesco.donnarumma@istc.cnr.ithttps://sites.google.com/site/giovannipezzulo/homehttps://sites.google.com/site/laurabarcahomepage/home https://www.istc.cnr.it/it/people/francesco-donnarumma
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Abstract

We consider the ways humans engage in social epistemic actions, to guide each other's attention, prediction, and learning processes towards salient information, at the timescale of online social interaction and joint action. This parallels the active guidance of other's attention, prediction, and learning processes at the longer timescale of niche construction and cultural practices, as discussed in the target article.

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 43 , 2020 , e113
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Copyright
Copyright © The Author(s), 2020. Published by Cambridge University Press

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