Article

Humans depart from optimal computational models of socially interactive decision-making under partial information

2020-11-03

Abstract excerpt

<p>Decision making under uncertainty and under incomplete evidence in multiagent settings is of increasing interest in decision science, assistive robotics, and machine assisted cognition. The degree to which human agents depart from computationally optimal solutions in socially interactive settings is generally unknown. Yet, this knowledge is critical for advances in these areas. Such understanding also provides...

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Literature Corpus work: 21ac2473-d0c0-5463-bb85-3fec83e7af05
DOI: 10.31234/osf.io/rcq25

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