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Turner MA, Singleton AL, Harris MJ, Harryman I, Lopez CA, Arthur RF, Muraida C, Jones JH. Minority-group incubators and majority-group reservoirs support the diffusion of climate change adaptations. Philos Trans R Soc Lond B Biol Sci 2023; 378:20220401. [PMID: 37718602 PMCID: PMC10505853 DOI: 10.1098/rstb.2022.0401] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Accepted: 06/24/2023] [Indexed: 09/19/2023] Open
Abstract
Successful climate change adaptation depends on the spread and maintenance of adaptive behaviours. Current theory suggests that the heterogeneity of metapopulation structure can help adaptations diffuse throughout a population. In this paper, we develop an agent-based model of the spread of adaptations in populations with minority-majority metapopulation structure, where subpopulations learn more or less frequently from their own group compared to the other group. In our simulations, minority-majority-structured populations with moderate degrees of in-group preference better spread and maintained an adaptation compared to populations with more equal-sized groups and weak homophily. Minority groups act as incubators for an adaptation, while majority groups act as reservoirs for an adaptation once it has spread widely. This means that adaptations diffuse throughout populations better when minority groups start out knowing an adaptation, as Indigenous populations often do, while cohesion among majority groups further promotes adaptation diffusion. Our work advances the goal of this theme issue by developing new theoretical insights and demonstrating the utility of cultural evolutionary theory and methods as important tools in the nascent science of culture that climate change adaptation needs. This article is part of the theme issue 'Climate change adaptation needs a science of culture'.
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Affiliation(s)
- Matthew A. Turner
- Stanford Doerr School of Sustainability, Social Sciences Division, Stanford University, Stanford, CA 94305, USA
| | - Alyson L. Singleton
- Stanford Doerr School of Sustainability, Social Sciences Division, Stanford University, Stanford, CA 94305, USA
| | - Mallory J. Harris
- Stanford Doerr School of Sustainability, Social Sciences Division, Stanford University, Stanford, CA 94305, USA
| | - Ian Harryman
- Stanford Doerr School of Sustainability, Social Sciences Division, Stanford University, Stanford, CA 94305, USA
| | - Cesar Augusto Lopez
- Stanford Doerr School of Sustainability, Social Sciences Division, Stanford University, Stanford, CA 94305, USA
| | - Ronan Forde Arthur
- Stanford Doerr School of Sustainability, Social Sciences Division, Stanford University, Stanford, CA 94305, USA
| | - Caroline Muraida
- Stanford Doerr School of Sustainability, Social Sciences Division, Stanford University, Stanford, CA 94305, USA
| | - James Holland Jones
- Stanford Doerr School of Sustainability, Social Sciences Division, Stanford University, Stanford, CA 94305, USA
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Singh M, Mehr SA. Universality, domain-specificity, and development of psychological responses to music. NATURE REVIEWS PSYCHOLOGY 2023; 2:333-346. [PMID: 38143935 PMCID: PMC10745197 DOI: 10.1038/s44159-023-00182-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 03/30/2023] [Indexed: 12/26/2023]
Abstract
Humans can find music happy, sad, fearful, or spiritual. They can be soothed by it or urged to dance. Whether these psychological responses reflect cognitive adaptations that evolved expressly for responding to music is an ongoing topic of study. In this Review, we examine three features of music-related psychological responses that help to elucidate whether the underlying cognitive systems are specialized adaptations: universality, domain-specificity, and early expression. Focusing on emotional and behavioural responses, we find evidence that the relevant psychological mechanisms are universal and arise early in development. However, the existing evidence cannot establish that these mechanisms are domain-specific. To the contrary, many findings suggest that universal psychological responses to music reflect more general properties of emotion, auditory perception, and other human cognitive capacities that evolved for non-musical purposes. Cultural evolution, driven by the tinkering of musical performers, evidently crafts music to compellingly appeal to shared psychological mechanisms, resulting in both universal patterns (such as form-function associations) and culturally idiosyncratic styles.
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Affiliation(s)
- Manvir Singh
- Institute for Advanced Study in Toulouse, University of
Toulouse 1 Capitole, Toulouse, France
| | - Samuel A. Mehr
- Yale Child Study Center, Yale University, New Haven, CT,
USA
- School of Psychology, University of Auckland, Auckland,
New Zealand
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3
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Kaplan T, Cannon J, Jamone L, Pearce M. Modeling enculturated bias in entrainment to rhythmic patterns. PLoS Comput Biol 2022; 18:e1010579. [PMID: 36174063 PMCID: PMC9553061 DOI: 10.1371/journal.pcbi.1010579] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Revised: 10/11/2022] [Accepted: 09/16/2022] [Indexed: 11/19/2022] Open
Abstract
Long-term and culture-specific experience of music shapes rhythm perception, leading to enculturated expectations that make certain rhythms easier to track and more conducive to synchronized movement. However, the influence of enculturated bias on the moment-to-moment dynamics of rhythm tracking is not well understood. Recent modeling work has formulated entrainment to rhythms as a formal inference problem, where phase is continuously estimated based on precise event times and their correspondence to timing expectations: PIPPET (Phase Inference from Point Process Event Timing). Here we propose that the problem of optimally tracking a rhythm also requires an ongoing process of inferring which pattern of event timing expectations is most suitable to predict a stimulus rhythm. We formalize this insight as an extension of PIPPET called pPIPPET (PIPPET with pattern inference). The variational solution to this problem introduces terms representing the likelihood that a stimulus is based on a particular member of a set of event timing patterns, which we initialize according to culturally-learned prior expectations of a listener. We evaluate pPIPPET in three experiments. First, we demonstrate that pPIPPET can qualitatively reproduce enculturated bias observed in human tapping data for simple two-interval rhythms. Second, we simulate categorization of a continuous three-interval rhythm space by Western-trained musicians through derivation of a comprehensive set of priors for pPIPPET from metrical patterns in a sample of Western rhythms. Third, we simulate iterated reproduction of three-interval rhythms, and show that models configured with notated rhythms from different cultures exhibit both universal and enculturated biases as observed experimentally in listeners from those cultures. These results suggest the influence of enculturated timing expectations on human perceptual and motor entrainment can be understood as approximating optimal inference about the rhythmic stimulus, with respect to prototypical patterns in an empirical sample of rhythms that represent the music-cultural environment of the listener.
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Affiliation(s)
- Thomas Kaplan
- Cognitive Science Research Group, School of Electronic Engineering & Computer Science, Queen Mary University of London, London, United Kingdom
| | - Jonathan Cannon
- Department of Psychology, Neuroscience & Behaviour, McMaster University, Hamilton, Ontario, Canada
| | - Lorenzo Jamone
- Cognitive Science Research Group, School of Electronic Engineering & Computer Science, Queen Mary University of London, London, United Kingdom
- Advanced Robotics at Queen Mary (ARQ), School of Electronic Engineering & Computer Science, Queen Mary University of London, London, United Kingdom
| | - Marcus Pearce
- Cognitive Science Research Group, School of Electronic Engineering & Computer Science, Queen Mary University of London, London, United Kingdom
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
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4
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Osiurak F, Claidière N, Bluet A, Brogniart J, Lasserre S, Bonhoure T, Di Rollo L, Gorry N, Polette Y, Saude A, Federico G, Uomini N, Reynaud E. Technical reasoning bolsters cumulative technological culture through convergent transformations. SCIENCE ADVANCES 2022; 8:eabl7446. [PMID: 35235360 PMCID: PMC8890708 DOI: 10.1126/sciadv.abl7446] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Accepted: 01/03/2022] [Indexed: 05/26/2023]
Abstract
Understanding the evolution of human technology is key to solving the mystery of our origins. Current theories propose that technology evolved through the accumulation of modifications that were mostly transmitted between individuals by blind copying and the selective retention of advantageous variations. An alternative account is that high-fidelity transmission in the context of cumulative technological culture is supported by technical reasoning, which is a reconstruction mechanism that allows individuals to converge to optimal solutions. We tested these two competing hypotheses with a microsociety experiment, in which participants had to optimize a physical system in partial- and degraded-information transmission conditions. Our results indicated an improvement of the system over generations, which was accompanied by an increased understanding of it. The solutions produced tended to progressively converge over generations. These findings show that technical reasoning can bolster high-fidelity transmission through convergent transformations, which highlights its role in the cultural evolution of technology.
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Affiliation(s)
- François Osiurak
- Laboratoire d’Étude des Mécanismes Cognitifs, Université de Lyon, Lyon, France
- Institut Universitaire de France, Paris, France
| | | | - Alexandre Bluet
- Laboratoire d’Étude des Mécanismes Cognitifs, Université de Lyon, Lyon, France
| | - Joël Brogniart
- Laboratoire d’Étude des Mécanismes Cognitifs, Université de Lyon, Lyon, France
| | - Salomé Lasserre
- Laboratoire d’Étude des Mécanismes Cognitifs, Université de Lyon, Lyon, France
| | - Timothé Bonhoure
- Laboratoire d’Étude des Mécanismes Cognitifs, Université de Lyon, Lyon, France
| | - Laura Di Rollo
- Laboratoire d’Étude des Mécanismes Cognitifs, Université de Lyon, Lyon, France
| | - Néo Gorry
- Laboratoire d’Étude des Mécanismes Cognitifs, Université de Lyon, Lyon, France
| | - Yohann Polette
- Laboratoire d’Étude des Mécanismes Cognitifs, Université de Lyon, Lyon, France
| | - Alix Saude
- Laboratoire d’Étude des Mécanismes Cognitifs, Université de Lyon, Lyon, France
| | | | - Natalie Uomini
- Department of Linguistic and Cultural Evolution, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Emanuelle Reynaud
- Laboratoire d’Étude des Mécanismes Cognitifs, Université de Lyon, Lyon, France
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Acerbi A, Charbonneau M, Miton H, Scott-Phillips T. Culture without copying or selection. EVOLUTIONARY HUMAN SCIENCES 2021; 3:e50. [PMID: 37588566 PMCID: PMC10427323 DOI: 10.1017/ehs.2021.47] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
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 stabilising 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. The 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. Social media summary Culture can be produced and maintained by convergent transformation, without copying or selection involved.
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Affiliation(s)
- Alberto Acerbi
- Centre for Culture and Evolution, Division of Psychology, Brunel University, London, UB8 3PH, UK
| | - Mathieu Charbonneau
- Faculté de Gouvernance, Sciences Économiques et Sociales, Université Mohammed VI Polytechnique, Rabat-Salé, Morocco
| | - Helena Miton
- Santa Fe Institute, 1399 Hyde Park Rd, Santa Fe, NM87501, US
| | - Thom Scott-Phillips
- Department of Cognitive Science, Central European University, Október 6. u. 7, 1051, Hungary
- Department of Anthropology, South Rd, DurhamDH1 3LE, UK
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Abstract
A cross-species perspective can extend and provide testable predictions for Savage et al.'s framework. Rhythm and melody, I argue, could bootstrap each other in the evolution of musicality. Isochrony may function as a temporal grid to support rehearsing and learning modulated, pitched vocalizations. Once this melodic plasticity is acquired, focus can shift back to refining rhythm processing and beat induction.
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7
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Ecological and psychological factors in the cultural evolution of music. Behav Brain Sci 2021; 44:e110. [PMID: 34588039 DOI: 10.1017/s0140525x20001181] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
The two target articles agree that processes of cultural evolution generate richness and diversity in music, but neither address this question in a focused way. We sketch one way to proceed - and hence suggest how the target articles differ not only in empirical claims, but also in their tacit, prior assumptions about the relationship between cognition and culture.
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Verhoef T, Ravignani A. Melodic Universals Emerge or Are Sustained Through Cultural Evolution. Front Psychol 2021; 12:668300. [PMID: 34408694 PMCID: PMC8365168 DOI: 10.3389/fpsyg.2021.668300] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2021] [Accepted: 07/05/2021] [Indexed: 11/13/2022] Open
Abstract
To understand why music is structured the way it is, we need an explanation that accounts for both the universality and variability found in musical traditions. Here we test whether statistical universals that have been identified for melodic structures in music can emerge as a result of cultural adaptation to human biases through iterated learning. We use data from an experiment in which artificial whistled systems, where sounds produced with a slide whistle were learned by human participants and transmitted multiple times from person to person. These sets of whistled signals needed to be memorised and recalled and the reproductions of one participant were used as the input set for the next. We tested for the emergence of seven different melodic features, such as discrete pitches, motivic patterns, or phrase repetition, and found some evidence for the presence of most of these statistical universals. We interpret this as promising evidence that, similarly to rhythmic universals, iterated learning experiments can also unearth melodic statistical universals. More, ideally cross-cultural, experiments are nonetheless needed. Simulating the cultural transmission of artificial proto-musical systems can help unravel the origins of universal tendencies in musical structures.
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Affiliation(s)
- Tessa Verhoef
- Creative Intelligence Lab, Leiden Institute for Advanced Computer Science, Leiden University, Leiden, Netherlands
| | - Andrea Ravignani
- Comparative Bioacoustics Group, Max Planck Institute for Psycholinguistics, Nijmegen, Netherlands
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Mesoudi A. Cultural selection and biased transformation: two dynamics of cultural evolution. Philos Trans R Soc Lond B Biol Sci 2021; 376:20200053. [PMID: 33993764 DOI: 10.1098/rstb.2020.0053] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
Here, I discuss two broad versions of human cultural evolution which currently exist in the literature and which emphasize different underlying dynamics. One, which originates in population-genetic-style modelling, emphasizes how cultural selection causes some cultural variants to be favoured and gradually increase in frequency over others. The other, which draws more from cognitive science, holds that cultural change is driven by the biased transformation of cultural variants by individuals in non-random and consistent directions. Despite claims that cultural evolution is characterized by one or the other of these dynamics, these are neither mutually exclusive nor a dichotomy. Different domains of human culture are likely to be more or less strongly weighted towards cultural selection or biased transformation. Identifying cultural dynamics in real-world cultural data is challenging given that they can generate the same population-level patterns, such as directional change or cross-cultural stability, and the same cognitive and emotional mechanisms may underlie both cultural selection and biased transformation. Nevertheless, fine-grained historical analysis and laboratory experiments, combined with formal models to generate quantitative predictions, offer the best way of distinguishing them. This article is part of the theme issue 'Foundations of cultural evolution'.
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Affiliation(s)
- Alex Mesoudi
- Human Behaviour and Cultural Evolution Group, Biosciences, University of Exeter, Penryn TR10 9FE, UK
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