# A Reactive-Darwinian Model for the Ultimatum Game: On the Dominance of   Moderation in High Diffusion

**Authors:** Roberto da Silva, Pablo Valverde, Luis C. Lamb

arXiv: 1901.09157 · 2019-10-02

## TL;DR

This paper models the ultimatum game incorporating reactive and Darwinian strategies, analyzing how different behavioral rules and mobility influence the dominance of moderation in strategy evolution through simulations.

## Contribution

It introduces a combined reactive-Darwinian model for the ultimatum game and examines the impact of mobility and strategy rules on the emergence of dominant strategies.

## Key findings

- Moderation becomes the dominant strategy under high diffusion.
- Player mobility significantly affects strategy coexistence.
- Extreme offers are less favored due to probabilistic escape mechanisms.

## Abstract

We consider a version of the ultimatum game which simultaneously combines reactive and Darwinian aspects with offers in [0,1]. By reactive aspects, we consider the effects that lead the player to change their offer given the previous result. On the other hand, Darwinian aspects correspond to copying a better strategy according to best game payoff when the current player compares with one of their neighbours. Therefore, we consider three different strategies, which govern how the players change their offers: greedy, moderate, and conservative. First, we provide an analytic study of a static version of game, where Darwinian aspects are not considered. Then, by using numerical simulations of a detailed and complete multi-agent system on a two dimensional lattice, we add an extra feature, in which players probabilistically scape from extreme offers (those close to 0 or 1) for obvious reasons. The players are also endowed reciprocity on their gains as proposers, which is reflected on their gains as responders. We also analyse the influence of the player's mobility effects. An analysis of the emergence of coexistence of strategies and changes on the dominant strategies are observed, which in turn depends on the player's mobility rate.

## Full text

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## Figures

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## References

13 references — full list in the complete paper: https://tomesphere.com/paper/1901.09157/full.md

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Source: https://tomesphere.com/paper/1901.09157