scholarly journals Rationalization enables cooperation and cultural evolution

2020 ◽  
Vol 43 ◽  
Author(s):  
Neil Levy

Abstract Cushman argues that the function of rationalization is to attribute mental representations to ourselves, thereby making these representations available for future planning. I argue that such attribution is often not necessary and sometimes maladaptive. I suggest a different explanation of rationalization: making representations available to other agents, to facilitate cooperation, transmission, and the ratchet effect that underlies cumulative cultural evolution.

Author(s):  
Oscar David Caicedo

RESUMEN:Michael Tomasello considera que, aunque todos los animales son el resultado (no acabado) de la evolución biológica y aunque en muchos animales no humanos la utilización de herramientas es latente (uno de los principales signos de rasgos culturales), solo en los humanos se produce la evolución cultural acumulativa y el efecto trinquete, esto es, la acumulación progresiva (e innovadora) de mejoras a lo largo de la historia sobre los artefactos creados. Contrario a esto, se sugiere em este artículo que algunos estudios recientes pueden utilizarse para, también en este aspecto, reafirmar el continuum animal-humano y extender la cultura acumulativa a otros animales. PALABRAS CLAVE: EVOLUCIÓN CULTURAL ACUMULATIVA, EFECTO TRINQUETE, IMITACIÓN, INNOVACIÓN.ABSTRACTMichael Tomasello believes that although all animals are the result (not finished) of biological evolution, and in many nonhuman animals using tools is latent (one of the main signs of culturaltraits), the cumulative cultural evolution and ratchet effect, i.e., progressive (and innovative) accumulation of improvements over history about the artifacts created, occur only in humans. Contrary to this, I believe that some recent studies can be used with the purpose of, also in this regard, reaffirming the animal-human continuum and extend the cumulative culture to other animals.KEYWORDS: CUMULATIVE CULTURAL EVOLUTION, RATCHET EFFECT, IMITATION, INNOVATION


Author(s):  
Aliki Papa ◽  
Mioara Cristea ◽  
Nicola McGuigan ◽  
Monica Tamariz

AbstractHuman culture is the result of a unique cumulative evolutionary process. Despite the importance of culture for our species the social transmission mechanisms underlying this process are still not fully understood. In particular, the role of language—another unique human behaviour—in social transmission is under-explored. In this first direct, systematic comparison of demonstration vs. language-based social learning, we ran transmission chains of participants (6- to 8-year-old children and adults from Cyprus) who attempted to extract a reward from a puzzle box after either watching a model demonstrate an action sequence or after listening to verbal instructions describing the action sequence. The initial seeded sequences included causally relevant and irrelevant actions allowing us to measure transmission fidelity and the accumulation of beneficial modifications through the lens of a subtractive ratchet effect. Overall, we found that, compared to demonstration, verbal instruction specifically enhanced the faithful transmission of causally irrelevant actions (overimitation) in children, but not in adults. Cumulative cultural evolution requires the faithful transmission of sophisticated, complex behaviour whose function may not be obvious. This indicates that, by supporting the retention of actions that appear to lack a causal function specifically by children, language may play a supportive role in cumulative cultural evolution.


2021 ◽  
pp. 095679762110322
Author(s):  
Marcel Montrey ◽  
Thomas R. Shultz

Surprisingly little is known about how social groups influence social learning. Although several studies have shown that people prefer to copy in-group members, these studies have failed to resolve whether group membership genuinely affects who is copied or whether group membership merely correlates with other known factors, such as similarity and familiarity. Using the minimal-group paradigm, we disentangled these effects in an online social-learning game. In a sample of 540 adults, we found a robust in-group-copying bias that (a) was bolstered by a preference for observing in-group members; (b) overrode perceived reliability, warmth, and competence; (c) grew stronger when social information was scarce; and (d) even caused cultural divergence between intermixed groups. These results suggest that people genuinely employ a copy-the-in-group social-learning strategy, which could help explain how inefficient behaviors spread through social learning and how humans maintain the cultural diversity needed for cumulative cultural evolution.


2016 ◽  
Vol 113 (44) ◽  
pp. E6724-E6725 ◽  
Author(s):  
Joseph Henrich ◽  
Robert Boyd ◽  
Maxime Derex ◽  
Michelle A. Kline ◽  
Alex Mesoudi ◽  
...  

2020 ◽  
Author(s):  
Federico Pianzola ◽  
Alberto Acerbi ◽  
Simone Rebora

We analyse stories in Harry Potter fan fiction published on Archive of Our Own (AO3), using concepts from cultural evolution. In particular, we focus on cumulative cultural evolution, that is, the idea that cultural systems improve with time, drawing on previous innovations. In this study we examine two features of cumulative culture: accumulation and improvement. First, we show that stories in Harry Potter’s fan fiction accumulate cultural traits—unique tags, in our analysis—through time, both globally and at the level of single stories. Second, more recent stories are also liked more by readers than earlier stories. Our research illustrates the potential of the combination of cultural evolution theory and digital literary studies, and it paves the way for the study of the effects of online digital media on cultural cumulation.


Author(s):  
Alberto Acerbi

Chapter 8 considers what cultural evolutionists call cumulative cultural evolution, that is, the idea that culture increases in complexity. For a cultural domain being defined as cumulative, it needs to show accumulation (more traits), improvement (traits are more efficient), and ratcheting (new traits build on previous innovations). The author proposes that this is not a necessary outcome, and that different domains show different signs of cumulation. It is suggested that the fidelity and the hyper-availability provided by digital media allow for more cumulation in domains where it was limited before. Not surprisingly, they also allow for the retention of vast amounts of useless information—junk culture. A central challenge for the coming years is thus finding efficient mechanisms of online cultural selection. Algorithmic selection is finally discussed, along with how mainstream criticisms, such as the fact that algorithms are biased or opaque to users, are not decisive arguments against their efficacy and utility.


2020 ◽  
Vol 287 (1928) ◽  
pp. 20200090
Author(s):  
Marcel Montrey ◽  
Thomas R. Shultz

A defining feature of human culture is that knowledge and technology continually improve over time. Such cumulative cultural evolution (CCE) probably depends far more heavily on how reliably information is preserved than on how efficiently it is refined. Therefore, one possible reason that CCE appears diminished or absent in other species is that it requires accurate but specialized forms of social learning at which humans are uniquely adept. Here, we develop a Bayesian model to contrast the evolution of high-fidelity social learning, which supports CCE, against low-fidelity social learning, which does not. We find that high-fidelity transmission evolves when (1) social and (2) individual learning are inexpensive, (3) traits are complex, (4) individual learning is abundant, (5) adaptive problems are difficult and (6) behaviour is flexible. Low-fidelity transmission differs in many respects. It not only evolves when (2) individual learning is costly and (4) infrequent but also proves more robust when (3) traits are simple and (5) adaptive problems are easy. If conditions favouring the evolution of high-fidelity transmission are stricter (3 and 5) or harder to meet (2 and 4), this could explain why social learning is common, but CCE is rare.


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