Evidence map›Paper›PMID 33597791›Full record

ArticleBiology & philosophy2020

Unlimited Associative Learning and the origins of consciousness: a primer and some predictions.

Jonathan Birch, Simona Ginsburg, Eva Jablonka

Abstract read
In one paragraph

Article in Biology & philosophy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

29 citing papers in PubMed.

  1. Towards a neuroethological approach to consciousness.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Review
  2. Consciousness: its goals, its functions and the emergence of a new category of selection.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Review
  3. The evolutionary functions of consciousness.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Article
  4. The value of consciousness: experiences worth having.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Mental causation: an evolutionary perspective.Frontiers in psychology · 2024
    Article
  10. Transitions in cognitive evolution.Proceedings. Biological sciences · 2023
    Review
  11. Article
  12. Review
  13. Leveraging conscious and nonconscious learning for efficient AI.Frontiers in computational neuroscience · 2023
    Article
  14. Editorial: Complex network dynamics in consciousness.Frontiers in computational neuroscience · 2023
    Article
  15. Article
  16. Review
  17. Animal sentience.Philosophy compass · 2022
    Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Jonathan BirchCentre for Philosophy of Natural and Social Science, London School of Economics and Political Science, Houghton Street, London WC2A 2AE, UK.ORCID 0000-0001-7517-4759
Simona GinsburgNatural Science Department, The Open University of Israel, 1 University Road, 4353701 Raanana, Israel.
Eva JablonkaCentre for Philosophy of Natural and Social Science, London School of Economics and Political Science, Houghton Street, London WC2A 2AE, UK.

Funding

European Research Council 851145
6 · The paper itself

Abstract

Over the past two decades, Ginsburg and Jablonka have developed a novel approach to studying the evolutionary origins of consciousness: the Unlimited Associative Learning (UAL) framework. The central idea is that there is a distinctive type of learning that can serve as a transition marker for the evolutionary transition from non-conscious to conscious life. The goal of this paper is to stimulate discussion of the framework by providing a primer on its key claims (Part I) and a clear statement of its main empirical predictions (Part II).

Indexed as

ConsciousnessEvolutionEvolutionary transitionsLearningTransition markerUnlimited associative learning

Identifiers

PMID33597791
PMCPMC7116763

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.