scholarly journals Modeling cultural change: Computational models of interpersonal influence dynamics can yield new insights about how cultures change, which cultures change more rapidly than others, and why.

2021 ◽  
Vol 76 (6) ◽  
pp. 1027-1038
Author(s):  
Mark Schaller ◽  
Michael Muthukrishna
2019 ◽  
Vol 24 (2) ◽  
pp. 103-120 ◽  
Author(s):  
Michael Muthukrishna ◽  
Mark Schaller

Societies differ in susceptibility to social influence and in the social network structure through which individuals influence each other. What implications might these cultural differences have for changes in cultural norms over time? Using parameters informed by empirical evidence, we computationally modeled these cross-cultural differences to predict two forms of cultural change: consolidation of opinion majorities into stronger majorities, and the spread of initially unpopular beliefs. Results obtained from more than 300,000 computer simulations showed that in populations characterized by greater susceptibility to social influence, there was more rapid consolidation of majority opinion and also more successful spread of initially unpopular beliefs. Initially unpopular beliefs also spread more readily in populations characterized by less densely connected social networks. These computational outputs highlight the value of computational modeling methods as a means to specify hypotheses about specific ways in which cross-cultural differences may have long-term consequences for cultural stability and cultural change.


Author(s):  
Kim Uittenhove ◽  
Patrick Lemaire

In two experiments, we tested the hypothesis that strategy performance on a given trial is influenced by the difficulty of the strategy executed on the immediately preceding trial, an effect that we call strategy sequential difficulty effect. Participants’ task was to provide approximate sums to two-digit addition problems by using cued rounding strategies. Results showed that performance was poorer after a difficult strategy than after an easy strategy. Our results have important theoretical and empirical implications for computational models of strategy choices and for furthering our understanding of strategic variations in arithmetic as well as in human cognition in general.


2012 ◽  
Vol 43 (4) ◽  
pp. 222-231 ◽  
Author(s):  
Nina Hansen ◽  
Tom Postmes ◽  
Nikita van der Vinne ◽  
Wendy van Thiel

This paper studies whether and how information and communication technology (ICT) changes self-construal and cultural values in a developing country. Ethiopian children were given laptops in the context of an ICT for development scheme. We compared children who used laptops (n = 69) with a control group without laptops (n = 76) and a second control group of children whose laptop had broken down (n = 24). Results confirmed that after 1 year of laptop usage, the children’s self-concept had become more independent and children endorsed individualist values more strongly. Interestingly, the impact of laptop usage on cultural values was mediated by self-construal (moderated mediation). Importantly, modernization did not “crowd out” traditional culture: ICT usage was not associated with a reduction in traditional expressions (interdependent self-construal, collectivist values). Theoretical and practical implications are discussed.


Author(s):  
Manuel Perea ◽  
Victoria Panadero

The vast majority of neural and computational models of visual-word recognition assume that lexical access is achieved via the activation of abstract letter identities. Thus, a word’s overall shape should play no role in this process. In the present lexical decision experiment, we compared word-like pseudowords like viotín (same shape as its base word: violín) vs. viocín (different shape) in mature (college-aged skilled readers), immature (normally reading children), and immature/impaired (young readers with developmental dyslexia) word-recognition systems. Results revealed similar response times (and error rates) to consistent-shape and inconsistent-shape pseudowords for both adult skilled readers and normally reading children – this is consistent with current models of visual-word recognition. In contrast, young readers with developmental dyslexia made significantly more errors to viotín-like pseudowords than to viocín-like pseudowords. Thus, unlike normally reading children, young readers with developmental dyslexia are sensitive to a word’s visual cues, presumably because of poor letter representations.


1968 ◽  
Author(s):  
Arthur H. Niehoff ◽  
J. Charnel Anderson

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