scholarly journals Culture without copying or selection

2021 ◽  
pp. 1-31
Author(s):  
Alberto Acerbi ◽  
Mathieu Charbonneau ◽  
Helena Miton ◽  
Thom Scott-Phillips

Abstract Typical examples of cultural phenomena all exhibit a degree of similarity across time and space at the level of the population. As such, a fundamental question for any science of culture is, what ensures this stability in the first place? Here we focus on the evolutionary and stabilizing role of ‘convergent transformation’, in which one item causes the production of another item whose form tends to deviate from the original in a directed, non-random way. We present a series of stochastic models of cultural evolution investigating its effects. Results show that cultural stability can emerge and be maintained by virtue of convergent transformation alone, in the absence of any form of copying or selection process. We show how high-fidelity copying and convergent transformation need not be opposing forces, and can jointly contribute to cultural stability. We finally analyse how non-random transformation and high-fidelity copying can have different evolutionary signatures at population level, and hence how their distinct effects can be distinguished in empirical records. Collectively, these results supplement existing approaches to cultural evolution based on the Darwinian analogy, while also providing formal support for other frameworks — such as Cultural Attraction Theory — that entail its further loosening.

2019 ◽  
Author(s):  
Alberto Acerbi ◽  
Mathieu Charbonneau ◽  
Helena Miton ◽  
Thom Scott-Phillips

What causes cultural stability? Culture can be studied as an evolving system, and the comparison between biological and cultural evolution has inspired a productive research agenda in which cultural stability is commonly attributed to the existence of mechanisms of high-fidelity cultural transmission. Other researchers have argued that no such copying processes are necessary to explain cultural stability, and that stability can also emerge as a by-product of convergent transformation (in which an item causes the production of another item whose form tends to deviate from that of the original item in a non random way). To investigate this issue, we present a series of stochastic simulation models of cultural evolution that make no prior assumptions about the type of processes by which cultural units propagate through a population. Results show that cultural stability can emerge and be maintained by convergent transformation alone, even in the absence of any form of copying or selection process. We also show that high-fidelity copying and convergent transformation are, contrary to some previous arguments, not opposing forces, and can in fact jointly contribute to cultural stability. Finally, we analyse how convergent transformation and high-fidelity copying can have different evolutionary signatures at the level of the population, and hence how their differing effects can be distinguished in the empirical record. Our models can be read as formalisations of Cultural Attraction Theory.


2021 ◽  
Author(s):  
Joseph Michael Stubbersfield

Conspiracy theories have been part of human culture for hundreds of years, if not millennia, and have been the subject of research in academic fields such as Social Psychology, Political Science and Cultural Studies. At present, there has been little research examining conspiracy theories from a Cultural Evolution perspective. This chapter discusses the value of Cultural Evolution approaches to understanding the diffusion of conspiracy theories. Focusing on the role of biases in cultural transmission, it argues that a key advantage of applying a Cultural Evolution approach to this phenomenon is that it provides a strong theoretical and methodological framework to bridge the individual, inter-individual and population level factors that explain the cultural success of conspiracy theories, with potential for producing insights into how to limit their negative influence.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Bradley Walker ◽  
José Segovia Martín ◽  
Monica Tamariz ◽  
Nicolas Fay

AbstractMany cultural phenomena evolve through a Darwinian process whereby adaptive variants are selected and spread at the expense of competing variants. While cultural evolutionary theory emphasises the importance of social learning to this process, experimental studies indicate that people’s dominant response is to maintain their prior behaviour. In addition, while payoff-biased learning is crucial to Darwinian cultural evolution, learner behaviour is not always guided by variant payoffs. Here, we use agent-based modelling to investigate the role of maintenance in Darwinian cultural evolution. We vary the degree to which learner behaviour is payoff-biased (i.e., based on critical evaluation of variant payoffs), and compare three uncritical (non-payoff-biased) strategies that are used alongside payoff-biased learning: copying others, innovating new variants, and maintaining prior variants. In line with previous research, we show that some level of payoff-biased learning is crucial for populations to converge on adaptive cultural variants. Importantly, when combined with payoff-biased learning, uncritical maintenance leads to stronger population-level adaptation than uncritical copying or innovation, highlighting the importance of maintenance to cultural selection. This advantage of maintenance as a default learning strategy may help explain why it is a common human behaviour.


2020 ◽  
Vol 43 ◽  
Author(s):  
Andrew Whiten

Abstract The authors do the field of cultural evolution a service by exploring the role of non-social cognition in human cumulative technological culture, truly neglected in comparison with socio-cognitive abilities frequently assumed to be the primary drivers. Some specifics of their delineation of the critical factors are problematic, however. I highlight recent chimpanzee–human comparative findings that should help refine such analyses.


2001 ◽  
Vol 17 (1) ◽  
pp. 48-55 ◽  
Author(s):  
Juan Botella ◽  
María José Contreras ◽  
Pei-Chun Shih ◽  
Víctor Rubio

Summary: Deterioration in performance associated with decreased ability to sustain attention may be found in long and tedious task sessions. The necessity for assessing a number of psychological dimensions in a single session often demands “short” tests capable of assessing individual differences in abilities such as vigilance and maintenance of high performance levels. In the present paper two tasks were selected as candidates for playing this role, the Abbreviated Vigilance Task (AVT) by Temple, Warm, Dember, LaGrange and Matthews (1996) and the Continuous Attention Test (CAT) by Tiplady (1992) . However, when applied to a sample of 829 candidates in a job-selection process for air-traffic controllers, neither of them showed discriminative capacity. In a second study, an extended version of the CAT was applied to a similar sample of 667 subjects, but also proved incapable of properly detecting individual differences. In short, at least in a selection context such as that studied here, neither of the tasks appeared appropriate for playing the role of a “short” test for discriminating individual differences in performance deterioration in sustained attention.


Author(s):  
Kathleen Jeffs

This chapter asks the questions: ‘what is the Spanish Golden Age and why should we stage its plays now?’ The Royal Shakespeare Company (RSC) Spanish season of 2004–5 came at a particularly ripe time for Golden Age plays to enter the public consciousness. This chapter introduces the Golden Age period and authors whose works were chosen for the season, and the performance traditions from the corrales of Spain to festivals in the United States. The chapter then treats the decision taken by the RSC to initiate a Golden Age season, delves into the play-selection process, and discusses the role of the literal translator in this first step towards a season. Then the chapter looks at ‘the ones that got away’, the plays that almost made the cut for production, and other worthy scripts from this period that deserve consideration for future productions.


Oecologia ◽  
2021 ◽  
Author(s):  
Peng He ◽  
Pierre-Olivier Montiglio ◽  
Marius Somveille ◽  
Mauricio Cantor ◽  
Damien R. Farine

AbstractBy shaping where individuals move, habitat configuration can fundamentally structure animal populations. Yet, we currently lack a framework for generating quantitative predictions about the role of habitat configuration in modulating population outcomes. To address this gap, we propose a modelling framework inspired by studies using networks to characterize habitat connectivity. We first define animal habitat networks, explain how they can integrate information about the different configurational features of animal habitats, and highlight the need for a bottom–up generative model that can depict realistic variations in habitat potential connectivity. Second, we describe a model for simulating animal habitat networks (available in the R package AnimalHabitatNetwork), and demonstrate its ability to generate alternative habitat configurations based on empirical data, which forms the basis for exploring the consequences of alternative habitat structures. Finally, we lay out three key research questions and demonstrate how our framework can address them. By simulating the spread of a pathogen within a population, we show how transmission properties can be impacted by both local potential connectivity and landscape-level characteristics of habitats. Our study highlights the importance of considering the underlying habitat configuration in studies linking social structure with population-level outcomes.


Author(s):  
Michael Tomz ◽  
Jessica L P Weeks

Abstract How do military alliances affect public support for war to defend victims of aggression? We offer the first experimental evidence on this fundamental question. Our experiments revealed that alliance commitments greatly increased the American public's willingness to intervene abroad. Alliances shaped public opinion by increasing public fears about the reputational costs of nonintervention and by heightening the perceived moral obligation to intervene out of concerns for fairness and loyalty. Finally, although alliances swayed public opinion across a wide range of circumstances, they made the biggest difference when the costs of intervention were high, the stakes of intervention were low, and the country needing aid was not a democracy. Thus, alliances can create pressure for war even when honoring the commitment would be extremely inconvenient, which could help explain why democratic allies tend to be so reliable. These findings shed new light on the consequences of alliances and other international legal commitments, the role of morality in foreign policy, and ongoing debates about domestic audience costs.


Author(s):  
Sina Shaffiee Haghshenas ◽  
Behrouz Pirouz ◽  
Sami Shaffiee Haghshenas ◽  
Behzad Pirouz ◽  
Patrizia Piro ◽  
...  

Nowadays, an infectious disease outbreak is considered one of the most destructive effects in the sustainable development process. The outbreak of new coronavirus (COVID-19) as an infectious disease showed that it has undesirable social, environmental, and economic impacts, and leads to serious challenges and threats. Additionally, investigating the prioritization parameters is of vital importance to reducing the negative impacts of this global crisis. Hence, the main aim of this study is to prioritize and analyze the role of certain environmental parameters. For this purpose, four cities in Italy were selected as a case study and some notable climate parameters—such as daily average temperature, relative humidity, wind speed—and an urban parameter, population density, were considered as input data set, with confirmed cases of COVID-19 being the output dataset. In this paper, two artificial intelligence techniques, including an artificial neural network (ANN) based on particle swarm optimization (PSO) algorithm and differential evolution (DE) algorithm, were used for prioritizing climate and urban parameters. The analysis is based on the feature selection process and then the obtained results from the proposed models compared to select the best one. Finally, the difference in cost function was about 0.0001 between the performances of the two models, hence, the two methods were not different in cost function, however, ANN-PSO was found to be better, because it reached to the desired precision level in lesser iterations than ANN-DE. In addition, the priority of two variables, urban parameter, and relative humidity, were the highest to predict the confirmed cases of COVID-19.


The Lancet ◽  
2019 ◽  
Vol 394 ◽  
pp. S28
Author(s):  
Heather Brown ◽  
Luke Munford ◽  
Anna Wilding ◽  
Tomos Robinson ◽  
Paula Holland ◽  
...  

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