Biology helps you to win a game

TL;DR

This paper introduces a multi-agent game inspired by biological processes, where agents adapt strategies through genetic crossover, to study complex dynamics and adaptation in natural and social systems.

Contribution

It presents a novel game model using biological crossover mechanisms for strategy adaptation, analyzing agent performance and system dynamics.

Findings

Agents adapt strategies effectively under various conditions.

The game exhibits complex, emergent dynamics similar to natural systems.

Biological inspiration improves understanding of adaptation processes.

Abstract

We present a game of interacting agents which mimics the complex dynamics found in many natural and social systems. These agents modify their strategies periodically, depending on their performances using genetic crossover mechanisms, inspired by biology. We study the performances of the agents under different conditions, and how they adapt themselves. In addition the dynamics of the game is investigated.