Complexity steering in cellular automata

Bar Y. Peled, Avishy Y. Carmi

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

A cellular automaton is presented whose governing rule is that the Kolmogorov complexity of a cell’s neighborhood may not increase when the cell’s present value is substituted for its future value. Using an approximation of this two-dimensional Kolmogorov complexity, the underlying automaton is shown to be capable of simulating binary logic circuits. A similar automaton whose rule permits at times the increase of a cell’s neighborhood complexity is shown to produce animated entities that can be used as information carriers akin to gliders in Conway’s Game of Life. The element that repeatedly generates gliders, the glider gun, is constructed in this automaton using a number of self-replicating mechanisms. Moreover, gliders’ annihilation and creation allow constructing logic gates as well as data encoding mechanisms.

Original languageEnglish
Pages (from-to)159-175
Number of pages17
JournalComplex Systems
Volume27
Issue number2
DOIs
StatePublished - 2018
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2018, Complex Systems Publications, Inc. All rights reserved.

Funding

This research is supported by Israel Science Foundation Grant No. 1723/16.

FundersFunder number
Israel Science Foundation1723/16

    Keywords

    • Cellular automata
    • Kolmogorov complexity
    • Negentropy
    • Self-replication
    • Universal computation

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