Emergence of genetic coding: An information-theoretic model

Mahendra Piraveenan, Daniel Polani, Mikhail Prokopenko*

*Corresponding author for this work

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

9 Citations (Scopus)


This paper introduces a simple model for evolutionary dynamics approaching the "coding threshold", where the capacity to symbolically represent nucleic acid sequences emerges in response to a change in environmental conditions. The model evolves a dynamical system, where a conglomerate of primitive cells is coupled with its potential encoding, subjected to specific environmental noise and inaccurate internal processing. The separation between the conglomerate and the encoding is shown to become beneficial in terms of preserving the information within the noisy environment. This selection pressure is captured information-theoretically, as an increase in mutual information shared by the conglomerate across time. The emergence of structure and useful separation inside the coupled system is accompanied by self-organization of internal processing, i.e. an increase in complexity within the evolving system.

Original languageEnglish
Title of host publicationAdvances in Artificial Life - 9th European Conference, ECAL 2007, Proceedings
Place of PublicationBerlin; Heidelberg
PublisherSpringer, Springer Nature
Number of pages11
Volume4648 LNAI
ISBN (Print)9783540749127
Publication statusPublished - 2007
Externally publishedYes
Event9th European Conference on Advance in Artificial Life, ECAL 2007 - Lisbon, Portugal
Duration: 10 Sep 200714 Sep 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4648 LNAI
ISSN (Print)03029743
ISSN (Electronic)16113349


Other9th European Conference on Advance in Artificial Life, ECAL 2007


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