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A minimal architecture for joint action

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Vesper, Cordula, Butterfill, Stephen A. (Stephen Andrew), Knoblich, Günther and Sebanz, Natalie (2010) A minimal architecture for joint action. Neural Networks, Vol.23 (No.8-9). pp. 998-1003. doi:10.1016/j.neunet.2010.06.002

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Official URL: http://dx.doi.org/10.1016/j.neunet.2010.06.002

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Abstract

What kinds of processes and representations make joint action possible? In this paper, we suggest a minimal architecture for joint action that focuses on representations, action monitoring and action prediction processes, as well as ways of simplifying coordination. The architecture spells out minimal requirements for an individual agent to engage in a joint action. We discuss existing evidence in support of the architecture as well as open questions that remain to be empirically addressed. In addition, we suggest possible interfaces between the minimal architecture and other approaches to joint action. The minimal architecture has implications for theorising about the emergence of joint action, for human-machine interaction, and for understanding how coordination can be facilitated by exploiting relations between multiple agents' actions and between actions and the environment. (C) 2010 Published by Elsevier Ltd

Item Type: Journal Article
Subjects: B Philosophy. Psychology. Religion > BF Psychology
Divisions: Faculty of Social Sciences > Philosophy
Library of Congress Subject Headings (LCSH): Cognition, Communication in organizations, Decision making, Human behavior, Agent (Philosophy), Act (Philosophy), Prediction (Psychology), Human-machine systems
Journal or Publication Title: Neural Networks
Publisher: Pergamon
ISSN: 0893-6080
Official Date: October 2010
Dates:
DateEvent
October 2010Published
Volume: Vol.23
Number: No.8-9
Number of Pages: 6
Page Range: pp. 998-1003
DOI: 10.1016/j.neunet.2010.06.002
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access

Data sourced from Thomson Reuters' Web of Knowledge

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