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The authors show how difficult it is to achieve effective joint action on a sustained basis.
These are problems (a) of public interest, the efficient solution to which requires (b) joint action by citizens, (c) through the law.
Their joint action claimed legitimacy from the League of Nations.
The political case for joint action is compelling.
What kinds of processes and representations make joint action possible?
No wonder joint action grinds to a halt.
The Q-learning based on belief allocation studies multi-agents joint action policy which helps corporative multi-agents joint action policy to converge to the optimum solution.
Informally, the agreement process is the dialog process by which collaborators achieve joint commitment on a joint action.
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.
We show that the highly context sensitive mapping from action observation onto appropriate complementary actions allows coping with dynamically changing joint action situations.
I present computational cognitive architectures rooted in timing, joint action, and embodied cognition.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com