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A Minimal Architecture for Joint Action (2010)

by Cordula Vesper, Stephen A. Butterfill, Guenther Knoblich and Natalie Sebanz

---Neural Networks 23(8-9), pp. 998-1003
--- links: external [doi: 10.1016/j.neunet.2010.06.002]


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.