2022
DOI: 10.1007/s12110-022-09435-x
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Combining Conformist and Payoff Bias in Cultural Evolution

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Cited by 7 publications
(5 citation statements)
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“…In figure 2, success bias was also reduced by allowing individuals to exhibit conformity or anti-conformity with probability 1 − ρ = 0.6 (yellow and green points, respectively). Previous research has shown that the combination of conformity and success bias can be more adaptive than either kind of bias alone [63]. However, in the present model with completely accurate success bias, reduction of this bias can only decrease the probability of acquiring the skill from the sample of role models and therefore make it more difficult for social learning to increase.…”
Section: Discussionmentioning
confidence: 75%
See 1 more Smart Citation
“…In figure 2, success bias was also reduced by allowing individuals to exhibit conformity or anti-conformity with probability 1 − ρ = 0.6 (yellow and green points, respectively). Previous research has shown that the combination of conformity and success bias can be more adaptive than either kind of bias alone [63]. However, in the present model with completely accurate success bias, reduction of this bias can only decrease the probability of acquiring the skill from the sample of role models and therefore make it more difficult for social learning to increase.…”
Section: Discussionmentioning
confidence: 75%
“…If success bias were imperfect (i.e. did not lead to the adoption of the more advantageous phenotype in the sample of n with probability 1), as in [42,63], results would probably differ. In our model, a probability ρ < 1 of success bias and a probability 1 − ρ of unbiased transmission together can be conceptualized as 'imperfect success bias' (orange points in figure 2).…”
Section: Discussionmentioning
confidence: 99%
“…Others have analysed models with interactions between different transmission biases. Hong [ 42 ] studied a model with both conformity and success bias (which he calls ‘pay-off bias’). He showed that an intermediate level of conformity bias—not too little but not too much—can be adaptive and evolve to prevent the invasion of low-success traits while allowing the invasion of high-success traits (for another example of adaptive filtering, refer to [ 43 ]).…”
Section: Discussionmentioning
confidence: 99%
“…He showed that an intermediate level of conformity bias—not too little but not too much—can be adaptive and evolve to prevent the invasion of low-success traits while allowing the invasion of high-success traits (for another example of adaptive filtering, refer to [ 43 ]). Similar to our model ( equation (2.10) ), Hong [ 42 , eqn. 1] also additively combined the two transmission biases.…”
Section: Discussionmentioning
confidence: 99%
“…This means that processes that do not involve direct fitness evaluations, such as conformist transmission, which can be adaptive in spatially heterogeneous environments (Henrich and Boyd, 1998; Nakahashi, Wakano, and Henrich, 2012), and when observational errors are common (Henrich and Boyd, 2002), are not going to effectively spread novel adaptive cultural traits by themselves, and can sometimes even lead to population collapse under specific ecological conditions (Whitehead and Richerson, 2009). However, adaptive cultural evolution occurs when a combination of learning strategies is used, such as: (1) conformist learning combined with individual learning (Boyd and Richerson, 1995; Henrich and Boyd, 1998) or payoff‐biased learning (Henrich and Boyd, 2002; Hong, 2022b); (2) “flexible learning” that enables individual learning to be more accurate or less costly (Boyd and Richerson, 1995); (3) “critical social learning,” where individuals engage in social learning first, and if results are unsatisfactory, then deploy individual learning (Enquist, Eriksson, and Ghirlanda, 2007); and (4) “specialized hybrid learning,” in which individuals deploy asocial learning in some contexts and social learning in other contexts (Boyd and Richerson, 1995; Kharratzadeh et al., 2017).…”
Section: Introductionmentioning
confidence: 99%