Information transfer by particles in cellular automata

Joseph T. Lizier*, Mikhail Prokopenko, Albert Y. Zomaya

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

2 Citations (Scopus)

Abstract

Particles, gliders and domain walls have long been thought to be the information transfer entities in cellular automata. In this paper we present local transfer entropy, which quantifies the information transfer on a local scale at each space-time point in cellular automata. Local transfer entropy demonstrates quantitatively that particles, gliders and domain walls are the dominant information transfer entities, thereby supporting this important conjecture about the nature of information transfer in cellular automata.

Original languageEnglish
Title of host publicationProgress in Artificial Life - Third Australian Conference, ACAL 2007, Proceedings
Place of PublicationBerlin; Heidelberg
PublisherSpringer, Springer Nature
Pages49-60
Number of pages12
Volume4828 LNAI
ISBN (Print)9783540769309
Publication statusPublished - 2007
Externally publishedYes
Event3rd Australian Conference on Artificial Life, ACAL 2007 - Gold Coast, Australia
Duration: 4 Dec 20076 Dec 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4828 LNAI
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other3rd Australian Conference on Artificial Life, ACAL 2007
CountryAustralia
CityGold Coast
Period4/12/076/12/07

Fingerprint Dive into the research topics of 'Information transfer by particles in cellular automata'. Together they form a unique fingerprint.

Cite this