Interacting with a system is key to uncovering its causal structure. A computational
framework for interventional causal learning has been developed over the last decade, but …

Two prominent ideas in the study of decision making have been that organisms behave near-
optimally, and that they use simple heuristic rules. These principles might be operating in …

Causal models are key to flexible and efficient exploitation of the environment. However,
learning causal structure is hard, with massive spaces of possible models, hard-to-compute …

People often make decisions with the goal of gaining information which can help reduce
their uncertainty. However, recent work has suggested that people sometimes do not select …

Nuestros resultados demuestran que el criterio de Information Gain modela las elecciones
humanas independientemente de las potenciales variaciones de la utilidad según …

Causal models are key to flexible and efficient exploitation of the environment. However,
learning causal structure is hard, with massive spaces of possible models, hard-to-compute …