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

Decision making under uncertainty in multiagent settings is of increasing interest in decision science. The degree to which human agents depart from computationally optimal solutions in socially interactive settings is generally unknown. Such …

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

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 …

Modeling Cooperation and Competition in the Tiger Task

Cooperation and competition are fundamental modes of social interaction. It is imperative that we study such behavior to unravel the staggering complexities of the human brain. We aim to develop a modelling framework to disentangle the neural …