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Transitions in cognitive evolution.

Published version
Peer-reviewed

Repository DOI


Type

Article

Change log

Authors

Halina, Marta 
Klein, Colin 

Abstract

The evolutionary history of animal cognition appears to involve a few major transitions: major changes that opened up new phylogenetic possibilities for cognition. Here, we review and contrast current transitional accounts of cognitive evolution. We discuss how an important feature of an evolutionary transition should be that it changes what is evolvable, so that the possible phenotypic spaces before and after a transition are different. We develop an account of cognitive evolution that focuses on how selection might act on the computational architecture of nervous systems. Selection for operational efficiency or robustness can drive changes in computational architecture that then make new types of cognition evolvable. We propose five major transitions in the evolution of animal nervous systems. Each of these gave rise to a different type of computational architecture that changed the evolvability of a lineage and allowed the evolution of new cognitive capacities. Transitional accounts have value in that they allow a big-picture perspective of macroevolution by focusing on changes that have had major consequences. For cognitive evolution, however, we argue it is most useful to focus on evolutionary changes to the nervous system that changed what is evolvable, rather than to focus on specific cognitive capacities.

Description

Keywords

comparative cognition, major transitions, neural networks, unlimited associative learning, Animals, Biological Evolution, Phylogeny, Cognition

Journal Title

Proc Biol Sci

Conference Name

Journal ISSN

0962-8452
1471-2954

Volume Title

290

Publisher

The Royal Society