# Microscopic modeling and analysis of collective decision making: equality bias leads suboptimal solutions

## TL;DR

This paper introduces a microscopic model for collective decision-making in multi-agent systems, demonstrating that equality bias causes suboptimal outcomes, supported by theoretical analysis and numerical experiments.

## Contribution

It presents a novel microscopic model capturing equality bias in collective decisions and proves its impact on suboptimality, supported by numerical validation.

## Key findings

- Equality bias leads to suboptimal collective decisions
- The model demonstrates how agents' behavior affects outcomes
- Numerical experiments confirm theoretical predictions

## Abstract

We discuss a novel microscopic model for collective decision-making interacting multi-agent systems. In particular we are interested in modeling a well known phenomena in the experimental literature called equality bias, where agents tend to behave in the same way as if they were as good, or as bad, as their partner. We analyze the introduced problem and we prove the suboptimality of the collective decision-making in the presence of equality bias. Numerical experiments are addressed in the last section.