Innovativeness, population size and cumulative cultural evolution

2012 ◽  
Vol 82 (1) ◽  
pp. 38-47 ◽  
Author(s):  
Yutaka Kobayashi ◽  
Kenichi Aoki
Keyword(s):  
Population Size ◽  
Cultural Evolution ◽  
Cumulative Cultural Evolution

scholarly journals The effect of dispersal on rates of cumulative cultural evolution

2018 ◽  
Vol 14 (2) ◽  
pp. 20180069 ◽  
Author(s):  
M. Dyble
Keyword(s):  
Computational Model ◽  
Population Size ◽  
Cultural Evolution ◽  
Cultural Models ◽  
Independent Effect ◽  
Cultural Adaptations ◽  
Local Environments ◽  
Males And Females ◽  
Cumulative Cultural Evolution

The ability to develop cultural adaptations to local environments is critical to the biological success of humans. Although overall population size and connectedness are thought to play an important role in increasing the rate of cumulative cultural evolution, the independent effect of dispersal rules on rates of cultural evolution has not been examined. Here, a computational model is used to explore the effect of dispersal on the rate of cultural evolution in traits transmitted patrilineally (from father to son), matrilineally (mother to daughter) and bilineally (through both sexes). Two dispersal conditions are modelled: patrilocality (where females disperse and males stay) and bilocality (where either sex may disperse). The results suggest that when only females disperse, the capacity for cumulative cultural evolution in traits shared only among males is severely constrained. This occurs even though overall rates of dispersal and the number of cultural models available to males and females are identical in both dispersal conditions. The constraints on the evolution of patrilineally inherited traits could be considered to represent a process of ‘cultural inbreeding', analogous to genetic inbreeding.

scholarly journals Social network architecture and the tempo of cumulative cultural evolution

2020 ◽  
Author(s):  
Mauricio Cantor ◽  
Michael C. Chimento ◽  
Simeon Q. Smeele ◽  
Peng He ◽  
Danai Papageorgiou ◽  
...  
Keyword(s):  
Social Network ◽  
Population Size ◽  
Cultural Evolution ◽  
Network Architecture ◽  
Size Structure ◽  
Social Systems ◽  
Future Research ◽  
Transmission Mechanisms ◽  
Cultural Traits ◽  
Cumulative Cultural Evolution

AbstractThe ability to build upon previous knowledge—cumulative cultural evolution (CCE)—is a hallmark of human societies. While CCE depends on the interaction between social systems, cognition and the environment, there is increasing evidence that CCE is facilitated by larger and more structured societies. However, the relative importance of social network architecture as an additional factor shaping CCE remains unclear. By simulating innovation and diffusion of cultural traits in populations with stereotyped social structures, we disentangle the relative contributions of network architecture from those of population size and connectivity. We demonstrate that while multilevel societies can promote the recombination of cultural traits into high-value products, they also hinder spread and make products more likely to go extinct. We find that transmission mechanisms are therefore critical in determining the outcomes of CCE. Our results highlight the complex interaction between population size, structure and transmission mechanisms, with important implications for future research.

scholarly journals Population Size and Cumulative Cultural Evolution: Fewer Heads Can Be Better than Many

2018 ◽  
Author(s):  
Nicolas Fay ◽  
Naomi De Kleine ◽  
Bradley Walker ◽  
Christine Anna Caldwell
Keyword(s):  
Social Learning ◽  
Population Size ◽  
Cultural Evolution ◽  
Large Scale ◽  
Individual Learning ◽  
Flight Distance ◽  
Learning Condition ◽  
Scale Experiment ◽  
Cumulative Cultural Evolution ◽  
The Individual

The extent to which larger populations enhance cumulative cultural evolution (CCE) is contentious. We report a large-scale experiment (N=543) that investigates the CCE of technology (paper planes and their flight distances) using a transmission chain design. Population size was manipulated such that participants could learn from the paper planes constructed by 1, 2 or 4 models from the prior generation. These social learning conditions were compared to an asocial Individual Learning condition in which individual participants made repeated attempts at constructing a paper plane, without having access to any planes produced by other participants. Larger populations generated greater variation in plane performance and gave participants access to better-adapted planes, but this did not enhance CCE. In fact, there was an inverse relationship between population size and CCE: plane flight distance did not improve over the experimental generations in the 2-Model and 4-Model conditions, but did improve over generations in the 1-Model social learning condition. The incremental improvement in plane flight distance in the 1-Model social learning condition was comparable to that in the Individual Learning condition, highlighting the importance of trial-and-error learning to artefact innovation and adaptation. In the context of this experiment, we conclude that larger populations do not enhance artefact performance via CCE, and that it may be only under certain specific conditions that larger population sizes enhance CCE.

scholarly journals Social network architecture and the tempo of cumulative cultural evolution

2021 ◽  
Vol 288 (1946) ◽  
pp. 20203107
Author(s):  
Mauricio Cantor ◽  
Michael Chimento ◽  
Simeon Q. Smeele ◽  
Peng He ◽  
Danai Papageorgiou ◽  
...  
Keyword(s):  
Social Network ◽  
Population Size ◽  
Cultural Evolution ◽  
Network Architecture ◽  
Size Structure ◽  
Social Systems ◽  
Future Research ◽  
Transmission Mechanisms ◽  
Cultural Traits ◽  
Cumulative Cultural Evolution

The ability to build upon previous knowledge—cumulative cultural evolution—is a hallmark of human societies. While cumulative cultural evolution depends on the interaction between social systems, cognition and the environment, there is increasing evidence that cumulative cultural evolution is facilitated by larger and more structured societies. However, such effects may be interlinked with patterns of social wiring, thus the relative importance of social network architecture as an additional factor shaping cumulative cultural evolution remains unclear. By simulating innovation and diffusion of cultural traits in populations with stereotyped social structures, we disentangle the relative contributions of network architecture from those of population size and connectivity. We demonstrate that while more structured networks, such as those found in multilevel societies, can promote the recombination of cultural traits into high-value products, they also hinder spread and make products more likely to go extinct. We find that transmission mechanisms are therefore critical in determining the outcomes of cumulative cultural evolution. Our results highlight the complex interaction between population size, structure and transmission mechanisms, with important implications for future research.

scholarly journals Revisiting the effect of population size on cumulative cultural evolution

2013 ◽  
Author(s):  
Ryan Baldini
Keyword(s):  
Population Size ◽  
Cultural Evolution ◽  
Transmission Error ◽  
Network Size ◽  
Original Model ◽  
Technological Evolution ◽  
Technological Complexity ◽  
Wide Range ◽  
Size Population ◽  
Cumulative Cultural Evolution

AbstractHenrich (2004) argued that larger populations can better maintain complex technologies because they contain more highly skilled people whom others can imitate. His original model, however, did not distinguish the effects of population size from population density or network size; a learner’s social network included the entire population. Does population size remain important when populations are subdivided and networks are realistically small? I use a mathematical model to show that population size has little effect on equilibrium levels of mean skill under a wide range of conditions. The effects of network size and transmission error rate usually overshadow that of population size. Population size can, however, affect the rate at which a population approaches equilibrium, by increasing the rate at which innovations arise. This effect is small unless innovation is very rare. Whether population size predicts technological complexity in the real world, then, depends on whether technological evolution is innovation-limited and short of equilibrium. The effect of population “connectedness,” via migration or trade, is similar. I discuss the results of this analysis in light of the current empirical debate.

scholarly journals Increasing population size can inhibit cumulative cultural evolution

2019 ◽  
Vol 116 (14) ◽  
pp. 6726-6731 ◽  
Author(s):  
Nicolas Fay ◽  
Naomi De Kleine ◽  
Bradley Walker ◽  
Christine A. Caldwell
Keyword(s):  
Social Learning ◽  
Population Size ◽  
Cultural Evolution ◽  
Large Scale ◽  
Individual Learning ◽  
Flight Distance ◽  
Learning Condition ◽  
Scale Experiment ◽  
Cumulative Cultural Evolution ◽  
The Individual

The extent to which larger populations enhance cumulative cultural evolution (CCE) is contentious. We report a large-scale experiment (n= 543) that investigates the CCE of technology (paper planes and their flight distances) using a transmission-chain design. Population size was manipulated such that participants could learn from the paper planes constructed by one, two, or four models from the prior generation. These social-learning conditions were compared with an asocial individual-learning condition in which individual participants made repeated attempts at constructing a paper plane, without having access to any planes produced by other participants. Larger populations generated greater variation in plane performance and gave participants access to better-adapted planes, but this did not enhance CCE. In fact, there was an inverse relationship between population size and CCE: plane flight distance did not improve over the experimental generations in the 2-Model and 4-Model conditions, but did improve over generations in the 1-Model social-learning condition. The incremental improvement in plane flight distance in the 1-Model social-learning condition was comparable to that in the Individual Learning condition, highlighting the importance of trial-and-error learning to artifact innovation and adaptation. An exploratory analysis indicated that the greater variation participants had access to in the larger populations may have overwhelmed their working memory and weakened their ability to selectively copy the best-adapted plane(s). We conclude that larger populations do not enhance artifact performance via CCE, and that it may be only under certain specific conditions that larger population sizes enhance CCE.

scholarly journals Revisiting the Effect of Population Size on Cumulative Cultural Evolution

2015 ◽  
Vol 15 (3-4) ◽  
pp. 320-336 ◽  
Author(s):  
Ryan Baldini
Keyword(s):  
Population Density ◽  
Population Size ◽  
Cultural Evolution ◽  
Transmission Error ◽  
Network Size ◽  
Technological Complexity ◽  
Wide Range ◽  
Size Population ◽  
Cumulative Cultural Evolution ◽  
Slow Innovation

Previous models of cultural evolution found that larger populations can better maintain complex technologies because they contain more highly skilled people whom others can imitate. These models, however, do not distinguish the effects of population size from population density or network size; a learner’s social network includes the entire population. Does population size remain important when populations are subdivided and networks are realistically small? I use a mathematical model to show that population size has little effect on equilibrium levels of mean skill under a wide range of conditions. The effects of network size and transmission error rate usually overshadow that of population size. Population size can, however, affect the rate at which a population approaches equilibrium, by increasing the rate at which innovations arise. This effect is small unless innovation is very rare. Population size should predict technological complexity in the real world, then, only if technological evolution is a slow, innovation-limited process. Population density and “connectedness” have similar affects to population size, though density can also affect equilibrium skill. I discuss the results of this analysis in light of the current empirical debate.

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