# On Playing with Emotion: A Spatial Evolutionary Variation of the Ultimatum Game

## TL;DR

This paper explores how basic emotions influence outcomes in a modified Ultimatum Game with spatial elements, using simulations to see which emotion leads to success.

## Contribution

The novel contribution is modeling five basic emotions as strategies in a spatial Ultimatum Game and analyzing their evolutionary success.

## Key findings

- Emotions like anger and fear dominate in certain spatial configurations.
- Fairness emerges as a result of successful negotiation strategies.
- Information entropy measures show changes in population diversity and money distribution over time.

## Abstract

The Ultimatum Game is a simplistic representation of bargaining processes occurring in social networks. In the standard version of this game, the first player, called the proposer, makes an offer on how to split a certain amount of money. If the second player, called the responder, accepts the offer, the money is divided according to the proposal; if the responder declines the offer, both players receive no money. In this article, an agent-based model is employed to evaluate the performance of five distinct strategies of playing a modified version of this game. A strategy corresponds to instructions on how a player must act as the proposer and as the responder. Here, the strategies are inspired by the following basic emotions: anger, fear, joy, sadness, and surprise. Thus, in the game, each interacting agent is a player endowed with one of these five basic emotions. In the modified version explored in this article, the spatial dimension is taken into account and the survival of the players depends on successful negotiations. Numerical simulations are performed in order to determine which basic emotion dominates the population in terms of prevalence and accumulated money. Information entropy is also computed to assess the time evolution of population diversity and money distribution. From the obtained results, a conjecture on the emergence of the sense of fairness is formulated.