Evolution of improvement and cumulative culture

Research output: Contribution to journalArticle

10 Citations (Scopus)

Abstract

Humans have created highly developed cultures, brought about by iterative improvements in technology. Using a mathematical model, I investigated the conditions under which cultural traits tend to be improved for a higher level of culture to evolve. In the model, I consider three ways of learning: individual learning, simple social learning, and improvements of socially learned cultural traits (social improvement). I obtain the evolutionarily stable number of cultural traits acquired through each way of learning. I show that organisms improve many socially learned cultural traits under the following conditions: (1) environmental stability is intermediate; (2) the environment is severe; (3) the success rate of individual learning is high; (4) the utility of cultural traits acquired by individual learning is large; (5) the accuracy of social learning is high; and (6) the increase in the utility of beneficial cultural traits attained by social improvement is large. I also show that when organisms have greater ability for social improvement, the average utility of the beneficial cultural trait increases, the proportion of beneficial cultural traits among all cultural traits decreases, and the total number of cultural traits acquired by the three ways of learning is constant. These results shed light on the origins of human cumulative culture.

Original languageEnglish
Pages (from-to)30-38
Number of pages9
JournalTheoretical Population Biology
Volume83
Issue number1
DOIs
Publication statusPublished - 2013 Feb 1
Externally publishedYes

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learning
organisms
mathematical models

Keywords

  • Enlargement of the brain
  • Evolutionarily stable strategy (ESS)
  • Human evolution
  • Learning strategy
  • Neanderthals
  • The Upper Paleolithic revolution

ASJC Scopus subject areas

  • Ecology, Evolution, Behavior and Systematics

Cite this

Evolution of improvement and cumulative culture. / Nakahashi, Wataru.

In: Theoretical Population Biology, Vol. 83, No. 1, 01.02.2013, p. 30-38.

Research output: Contribution to journalArticle

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