A formal analysis of cultural evolution by replacement
作者： Jing Xu , Thomas L. Griffiths , Florencia Reali
DOI:
关键词: Sociocultural evolution 、 Process (engineering) 、 Social group 、 Outcome (game theory) 、 Cultural transmission in animals 、 Statistical inference 、 Gibbs sampling 、 Data science 、 Bayesian probability 、 Computer science
摘要: Social psychologists have used the replacement method to simulate cultural evolution in laboratory, studying what happens when a group of people performing task are gradually replaced by new members. We provide formal analysis dynamics under assumption that involved Bayesian agents. use connection statistical inference algorithm – Gibbs sampling characterize outcome this process, and show can account for both laboratory data population-level trends resulting from transmission.
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