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  4. Algorithmic bottlenecks in evolution: Genetic code, symbolic language, and the Great Filter hypothesis

Algorithmic bottlenecks in evolution: Genetic code, symbolic language, and the Great Filter hypothesis

Citation Link: https://doi.org/10.15480/882.19061
Publikationstyp
Review Article
Date Issued
2026-09-06
Sprache
English
Author(s)
Prokopenko, Mikhail
Data Science Foundations E-21
Ay, Nihat
Data Science Foundations E-21
Breviario, Angelica
Crocker, Roland M.
Davies, Paul C. W
Davies, Pauline
Dougan, Darren
Fletcher, Roland
Harré, Michael
Heisler, Marcus G.
Kuncic, Zdenka
Lewis, Geraint F.
Livson, Ori
Reiner, Vivienne
Ruiz Serra, Jaime
TORE-DOI
10.15480/882.19061
TORE-URI
https://hdl.handle.net/11420/65494
Journal
Physics of life reviews
Volume
59
Start Page
96
End Page
119
Citation
Physics of Life Reviews 59: 96-119 (2026)
Publisher DOI
10.1016/j.plrev.2026.09.001
Scopus ID
2-s2.0-105050346289
Publisher
Elsevier
The Great Filter hypothesis proposes that the emergence of technological societies capable of interstellar travel depends on a small number of exceptionally hard and highly improbable steps. Traditional versions of this hypothesis enumerate such “hard steps” along the trajectory from inanimate matter to complex technological societies, but diverge in their explanations for why these particular steps should be so improbable. The theory of Major Evolutionary Transitions also faces challenges in identifying which steps should be considered universally “hard” across different evolutionary pathways. In contrast, we argue that two deeply structural obstacles dominate the evolutionary landscape: the coding threshold associated with the origin of the genetic code, and the language threshold associated with the emergence of symbolic communication. We examine the developmental precursors of both transitions and analyze the underlying algorithmic bottlenecks: points at which evolving systems separate code from function, while entangling them within information hierarchies. Using a game-theoretic analysis of coupled signaling and coordination dynamics, we then argue that the corresponding multichannel games may exhibit saddle-type equilibria whose stable manifolds define narrow evolutionary paths, making the transitions intrinsically difficult to traverse. We conjecture that the so-called Great Filter is best understood not as a sequence of isolated improbable events, but as a nested structure of tangled information hierarchies. Under this conjecture, the rarity of advanced societies follows from the difficulty of crossing these coding thresholds in a competitive noisy environment. This hypothesis reframes the Great Filter as an algorithmic property of evolving systems, suggesting that only a small fraction of life may ever traverse the path toward technological societies capable of interstellar travel.
Subjects
Algorithmic bottleneck
Coding threshold
Genetic code
Great Filter hypothesis
Major evolutionary transitions
Multichannel games
Symbolic language
DDC Class
570: Life Sciences, Biology
003.5: Communication and Control
Lizenz
https://creativecommons.org/licenses/by-nc/4.0/
Publication version
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