# Decision-making trades off learned and perceived information

## TL;DR

This study shows how people balance using learned knowledge and new sensory information when making decisions.

## Contribution

The paper introduces a novel framework showing a trade-off between learned and perceived information in decision-making.

## Key findings

- Participants who relied more on learned information gathered less perceptual data.
- The trade-off is explained by the faster availability of learned information, reducing the need for perception.
- Individuals tend to consistently favor one information source over the other.

## Abstract

A fundamental question in cognitive science is how information from internal memory is combined with external sensory input when making decisions. We hypothesized that previously learned and currently perceived information trade off against each other, such that extracting information from one source reduces the gathering and usage of information from the other. To test this hypothesis, we designed a two-armed bandit task where each arm is composed of both learned and perceived elements. We monitored participants’ gathering of perceptual information using eye tracking. Participants’ choices and gaze deployment showed a trade-off between the impact of learned and perceived information. The more a participant utilized internally stored learned information, the less they gathered perceptual information, and vice versa. Modeling participants’ information gathering indicated that the trade-off results from the faster gathering of learned information, which, when used, makes it less valuable to further invest effort in gathering additional perceptual information. Preliminary findings also suggested that an individual’s tendency to primarily rely on one source of information is a stable individual trait. These findings reveal how humans balance between learning and perception in forming decisions.