<p>We investigate how people use mental simulations: do people vary the number of simulations that they run in order to optimally balance speed and accuracy? We combined a model of noisy physical simulation with a decision making strategy called the sequential probability ratio test, or S P RT (Wald, 1947). Our model predicted that people should use more samples when it is harder to make an accurate prediction due to higher simulation uncertainty. We tested this through a task in which people had to judge whether a ball bouncing in a box would go through a hole or not. We varied the uncertainty across trials by changing the size of the holes and the margin by which the ball went through or missed the hole. Both people’s judgments and respon...
Understanding the algorithmic nature of mental processes is of vital importance to psychology, neuro...
How do people reason intuitively about everyday physical events? Two broad camps provide very differ...
Whereas much literature has documented difficulties in making probabilistic inferences, it has also ...
In this paper, we investigate how people use mental simula-tions: do people vary the number of simul...
Although theories of mental simulations have used different formulations of the premises of 'thought...
Mental simulation is a powerful cognitive capacity that underlies people's ability to draw inference...
People can learn about the effects of their actions either by performing physical experiments or by ...
At any given moment, the mind needs to decide how to think about what, and for how long. The mind's ...
In order to interact with the world, people must be able to predict how it will unfold in the future...
Behavior oftentimes allows for many possible interpretations in terms of mental states, such as goal...
Behavior oftentimes allows for many possible interpretations in terms of mental states, such as goal...
In a glance, we can perceive whether a stack of dishes will topple, a branch will support a child’s ...
Research in the probability-learning tradition suggests that subjects who are asked to predict which...
Can mental simulation of alternative research outcomes reduce bias? We attempted to extend Hirt et a...
Mental simulation of future scenarios is hypothesized to affect future behavior, but a large and inc...
Understanding the algorithmic nature of mental processes is of vital importance to psychology, neuro...
How do people reason intuitively about everyday physical events? Two broad camps provide very differ...
Whereas much literature has documented difficulties in making probabilistic inferences, it has also ...
In this paper, we investigate how people use mental simula-tions: do people vary the number of simul...
Although theories of mental simulations have used different formulations of the premises of 'thought...
Mental simulation is a powerful cognitive capacity that underlies people's ability to draw inference...
People can learn about the effects of their actions either by performing physical experiments or by ...
At any given moment, the mind needs to decide how to think about what, and for how long. The mind's ...
In order to interact with the world, people must be able to predict how it will unfold in the future...
Behavior oftentimes allows for many possible interpretations in terms of mental states, such as goal...
Behavior oftentimes allows for many possible interpretations in terms of mental states, such as goal...
In a glance, we can perceive whether a stack of dishes will topple, a branch will support a child’s ...
Research in the probability-learning tradition suggests that subjects who are asked to predict which...
Can mental simulation of alternative research outcomes reduce bias? We attempted to extend Hirt et a...
Mental simulation of future scenarios is hypothesized to affect future behavior, but a large and inc...
Understanding the algorithmic nature of mental processes is of vital importance to psychology, neuro...
How do people reason intuitively about everyday physical events? Two broad camps provide very differ...
Whereas much literature has documented difficulties in making probabilistic inferences, it has also ...