A minimal architecture for joint action

Cordula Vesper*, Stephen Butterfill, Günther Knoblich, Natalie Sebanz

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract (may include machine translation)

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.

Original languageEnglish
Pages (from-to)998-1003
Number of pages6
JournalNeural Networks
Volume23
Issue number8-9
DOIs
StatePublished - Oct 2010
Externally publishedYes

Keywords

  • Coordination
  • Joint action
  • Monitoring
  • Prediction
  • Task representation

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