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  1. Home
  3. Autogenic Transitions In Individuality.
  1. Home
  3. Autogenic Transitions In Individuality.

Related Experiment Video

Virtual Hand with Ambiguous Movement between the Self and Other Origin: Sense of Ownership and 'Other-Produced' Agency
08:01

Virtual Hand with Ambiguous Movement between the Self and Other Origin: Sense of Ownership and 'Other-Produced' Agency

Published on: October 28, 2020

Autogenic transitions in individuality.

Paul B Rainey

    Comptes Rendus Biologies
    |June 2, 2026

    View abstract on PubMed

    Summary
    This summary is machine-generated.

    Evolutionary theory is extended by the concept of autogenic transitions, where internally generated components form new individuals. This framework helps identify novel evolutionary pathways, including those involving artificial intelligence (AI).

    Keywords:
    Artificial intelligenceDarwinian individualityHuman–AI symbiosesMajor evolutionary transitions

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    Area of Science:

    • Evolutionary Biology
    • Theoretical Biology
    • Artificial Intelligence Studies

    Background:

    • Major evolutionary transitions typically involve integrating independent lineages.
    • Internal generation of components within a lineage, leading to new individuals, is less explored.
    • Artificial intelligence (AI) emergence necessitates examining new evolutionary transition models.

    Purpose of the Study:

    • Introduce and define 'autogenic transitions in individuality'.
    • Explore biological and cultural precedents for internally generated evolutionary components.
    • Examine potential routes for AI-driven autogenic transitions in human evolution.

    Main Methods:

    • Review biological and cultural examples of internally generated entities influencing evolution.
  • Analyze three proposed routes for AI-driven autogenic transitions.
  • Extend evolutionary theory to encompass internally generated components forming new individuals.

    • Main Results:

    • Internally generated lineages can form distinct Darwinian populations (e.g., transmissible cancers).
    • AI could facilitate autogenic transitions via collective selection, replication, or developmental integration.
    • Two AI routes could lead to evolving composite human-AI lineages.

    Conclusions:

    • Autogenic transitions offer a framework for understanding how new evolutionary individuals arise from within lineages.
    • AI presents plausible scenarios for future autogenic transitions, impacting human evolution.
    • This framework aids in recognizing novel evolutionary individuals that might otherwise be overlooked.