Application of Chaotic Number Generators in Econophysics

TL;DR

This paper explores the use of chaotic number generators as simulation engines in agent-based models for Econophysics, aiming to create more realistic economic simulations by leveraging the configurability of chaos-based generators.

Contribution

It introduces the application of chaotic number generators in agent-based Econophysics models to enhance realism and flexibility.

Findings

Chaotic generators are easy to implement and configure.

They can produce more realistic simulation scenarios.

Potential for improved economic modeling accuracy.

Abstract

Agent-based models have demonstrated their power and flexibility in Econophysics. However their major challenge is still to devise more realistic simulation scenarios. The complexity of Economy makes appealing the idea of introducing chaotic number generators as simulation engines in these models. Chaos based number generators are easy to use and highly configurable. This makes them just perfect for this application.