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Perceptual interventions ameliorate statistical discrimination in learning agents.

Edgar A Duéñez-Guzmán1, Ramona Comanescu1, Yiran Mao1

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Summary
This summary is machine-generated.

Technology can help reduce bias in social partner selection. A perceptual intervention improved decision-making by highlighting relevant information, enhancing information-processing abilities and reducing reliance on spurious correlations.

Keywords:
partner choiceperceptual interventionsreinforcement learningstatistical discrimination

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Area of Science:

  • Computational Social Science
  • Behavioral Economics
  • Artificial Intelligence

Background:

  • Social partner selection involves balancing information evaluation costs and decision quality.
  • Information-processing limitations can lead to biases in partner choice.
  • Technology can alter feature salience, potentially modulating these biases.

Purpose of the Study:

  • To investigate the emergence of biases in partner selection using game theory and multiagent reinforcement learning.
  • To explore how a technological perceptual intervention can mitigate these biases.

Main Methods:

  • Utilized game theory and multiagent reinforcement learning (MARL) to model social partner choice.
  • Implemented a perceptual intervention as a technological layer between agents and their environment.
  • Assessed changes in bias and decision-making performance with and without the intervention.

Main Results:

  • A perceptual intervention increasing the salience of outcome-relevant features reduced bias in partner choice decisions.
  • Agents with the intervention showed less reliance on spuriously correlated features.
  • The intervention mechanistically enhanced agents' effective information-processing abilities.

Conclusions:

  • Technological interventions can effectively reduce biases in social decision-making.
  • MARL is a valuable tool for modeling complex social behaviors and testing interventions.
  • Optimizing feature salience is a promising strategy for improving partner selection outcomes.