# Computational capabilities at the edge of chaos for one dimensional system undergoing continuous transitions

## TL;DR

This paper investigates how computational capabilities in one-dimensional systems, including cellular automata and coupled oscillators, are enhanced near the transition to chaos, using entropy measures to analyze the balance of unpredictability and complexity.

## Contribution

It demonstrates that cellular automata and oscillator systems exhibit increased computational power near chaotic transitions, extending the understanding of computation at the edge of chaos.

## Key findings

- Increased excess entropy near chaos transition
- Sudden jump in entropy density to near one
- Similar behavior observed in coupled oscillator systems

## Abstract

While there has been a keen interest in studying computation at the edge of chaos for dynamical systems undergoing a phase transition, this has come under question for cellular automata. We show that for continuously deformed cellular automata there is an enhancement of computation capabilities as the system moves towards cellular automata with chaotic spatiotemporal behavior. The computation capabilities are followed by looking into the Shannon entropy rate and the excess entropy, which allows identifying the balance between unpredictability and complexity. Enhanced computation power shows as an increase of excess entropy while the system entropy density has a sudden jump to values near one. The analysis is extended to a system of non-linear locally coupled oscillators that have been reported to exhibit spatiotemporal diagrams similar to cellular automata.