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Transitions in cognitive evolution.

Andrew B Barron1, Marta Halina2, Colin Klein3

  • 1School of Natural Sciences, Macquarie University, Sydney, New South Wales, Australia.

Proceedings. Biological Sciences
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PubMed
Summary
This summary is machine-generated.

Major transitions in animal evolution reshaped cognitive evolution by altering nervous system computational architecture. This changed what traits were evolvable, enabling new cognitive capacities.

Keywords:
comparative cognitionmajor transitionsneural networksunlimited associative learning

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Area of Science:

  • Evolutionary biology
  • Neuroscience
  • Cognitive science

Background:

  • Animal cognition evolved through major transitions, altering evolutionary possibilities.
  • Existing accounts of cognitive evolution need refinement to explain macroevolutionary changes.

Purpose of the Study:

  • To review and contrast current transitional accounts of cognitive evolution.
  • To propose a new framework for understanding cognitive evolution centered on changes in nervous system computational architecture.

Main Methods:

  • Review of existing literature on evolutionary transitions and cognitive evolution.
  • Development of a theoretical account focusing on selection acting on computational architecture.
  • Proposal of five major transitions in animal nervous system evolution.

Main Results:

  • An evolutionary transition must change what is evolvable, altering phenotypic possibilities.
  • Selection for efficiency or robustness in nervous systems drives changes in computational architecture.
  • Five major transitions in animal nervous system evolution are proposed, each enabling new cognitive capacities.

Conclusions:

  • Focusing on changes to nervous system computational architecture that alter evolvability offers a powerful perspective on cognitive macroevolution.
  • This approach emphasizes how nervous system evolution enables new cognitive capacities rather than focusing on specific capacities themselves.