Genealogies and ages of cultural traits: An application of the theory of duality to the research on cultural evolution
Yutaka Kobayashi,
Joe Yuichiro Wakano and
Hisashi Ohtsuki
Theoretical Population Biology, 2018, vol. 123, issue C, 18-27
Abstract:
A finite-population, discrete-generation model of cultural evolution is described, in which multiple discrete traits are transmitted independently. In this model, each newborn may inherit a trait from multiple cultural parents. Transmission fails with a positive probability unlike in population genetics. An ancestral process simulating the cultural genealogy of a sample of individuals is derived for this model. This ancestral process, denoted by M−, is shown to be dual to a process M+ describing the change in the frequency of a trait. The age–frequency spectrum is defined as a two-dimensional array whose (i,k) element is the expected number of distinct cultural traits introduced k generations ago and now carried by i individuals in a sample of a particular size n. Numerical calculations reveal that the age–frequency spectrum and related metrics undergo a critical transition from a phase with a moderate number of young, rare traits to a phase with numerous very old, common traits when the expected number of cultural parents per individual exceeds one. It is shown that M+ and M− converge to branching or deterministic processes, depending on the way population size tends to infinity, and these limiting processes bear some duality relationships. The critical behavior of the original processes M+ and M− is explained in terms of a phase transition of the branching processes. Using the results of the limiting processes in combination, we derive analytical formulae that well approximate the age–frequency spectrum and also other metrics.
Keywords: Cumulative culture; Social learning; Dual process; Backward process; Retrospective model (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (3)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:thpobi:v:123:y:2018:i:c:p:18-27
DOI: 10.1016/j.tpb.2018.04.007
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