Signals of copying in the cultural evolution of cattle brands are robust to time- and space-averaging DOI Open Access
Mason Youngblood, Helena Miton, Olivier Morin

et al.

Published: July 31, 2022

Cattle brands (ownership marks left on animals) are subject to forces influencing other graphic codes: the copying of constituent parts, pressure for distinctiveness, and complexity. The historical record cattle in some US states is complete due legal registration, providing a unique opportunity assess how sampling processes leading time- space-averaging influence our ability make inferences from limited datasets fields like archaeology. In this preregistered study, we used dataset ~81,000 Kansas (1990-2016) explore two questions: (1) relative copying, complexity creation diffusion brand components, (2) effects space- averaging statistical signals. By conducting generative inference with an agent-based model, found that patterns data consistent intermediate addition, by comparing mixed structured datasets, these signals robust to, possibly boosted by, space-averaging.

Language: Английский

Effects of positive frequency-dependent learning, learning mistakes, and immigration on complex cultures–Validation on the song of collared flycatcher (Ficedula albicollis) by individual-based modeling DOI Creative Commons
Karola Anna Barta, László Zsolt Garamszegi, István Scheuring

et al.

Frontiers in Ecology and Evolution, Journal Year: 2023, Volume and Issue: 11

Published: June 9, 2023

Cultural diversity and stability of a population affect the adaptiveness survival individuals. Besides field studies, cultural have been investigated with help different modeling approaches in relatively simple cultures. These theoretical studies helped identify mechanisms that generate through increasing proportion new elements population, for example by immigration or erroneous learning. Copy-the-majority learning strategies, forms positive frequency-dependent learning, rather opposite effect: while they maintaining favoring spread common elements, also decrease diversity. We whether these basic, conflicting are sufficient together to create complex, polymorphic system maintain its stability. For we developed an individual-based model simulating song birds which extent immigration, frequency mistakes strength were included as modifiable parameters. From model, obtained information on composition temporal changes individual repertoires. A comparison long-term data European passerine bird species moderate complexity, collared flycatcher ( Ficedula albicollis ), was performed. Our results confirmed certain combinations three indeed able patterns showed aspects Yet, several discrepancies occurred when comparing simulation emphasize implementation other mechanisms, especially those stabilizing effect. Long-term metastable states, found population-level diversity, raise awareness animal cultures’ possible sensitivity external factors.

Language: Английский

Citations

3

Language-like efficiency and structure in house finch song DOI Open Access
Mason Youngblood

Published: Sept. 23, 2023

Communication needs to be complex enough functional while minimizing learning and production costs. Recent work suggests that the vocalizations gestures of some songbirds, cetaceans, great apes may conform linguistic laws reflect this trade-off between efficiency complexity. In studies non-human communication, though, clustering signals into types cannot done a priori, decisions about appropriate grain analysis affect statistical in data. The aim study was assess evidence for language-like structure house finch (Haemorhous mexicanus) song across three levels granularity syllable clustering. results show strong Zipf’s rank-frequency law, law abbreviation, Menzerath’s law. Additional analyses songs have small-world structure, thought systematic syntax, mutual information decay sequences is consistent with combination Markovian hierarchical processes. These patterns are robust clustering, pointing limited form scale invariance. sum, it appears has been shaped by pressure efficiency, possibly offset costs female preferences

Language: Английский

Citations

3

Negativity bias in the spread of voter fraud conspiracy theory tweets during the 2020 US election DOI Open Access
Mason Youngblood, Joseph Stubbersfield, Olivier Morin

et al.

Published: Oct. 26, 2021

During the 2020 US presidential election, conspiracy theories about large-scale voter fraud were widely circulated on social media platforms. Given their scale, persistence, and impact, it is critically important to understand mechanisms that caused these spread. The aim of this study was investigate whether retweet frequencies among proponents Twitter during election are consistent with frequency bias and/or content bias. To do this, we conducted generative inference using an agent-based model cultural transmission VoterFraud2020 dataset. results show observed distribution a strong causing users preferentially tweets negative emotional valence. Frequency information appears be largely irrelevant future count. Follower count strongly predicts in simpler linear model, but does not appear drive overall after temporal dynamics accounted for. Future studies could apply our methodology comparative framework assess for valence theory messages differs from other forms media.

Language: Английский

Citations

5

Cultural evolution and music DOI Open Access
Mason Youngblood, Yuto Ozaki, Patrick E. Savage

et al.

Published: Oct. 25, 2021

The universality and diversity of music in human societies make it an important research model for understanding how cultural features change over time space. In this chapter, we review on the evolution music, broken down into three major approaches: 1) corpus-based approaches that use large datasets to infer evolutionary patterns, 2) experimental explore transmission transformation, 3) “music-like” behaviors non-human species, such as bird whale song, highlights shared mechanisms future directions. Finally, discuss applications issues like copyright enforcement algorithmic inequality. Given musical have yet be fully leveraged, think has potential become a powerful evolution.

Language: Английский

Citations

4

Temporal stability in songs across the breeding range of Geothlypis philadelphia (Mourning Warbler) may be due to learning fidelity and transmission biases DOI
Jay Pitocchelli,

Adam Albina,

R. Alexander Bentley

et al.

Ornithology, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 23, 2024

ABSTRACT We found a stable pattern of geographic variation in songs across the breeding range Geothlypis philadelphia (Mourning Warbler) over 36-year period. The Western, Eastern, Nova Scotia, and Newfoundland regiolects 2005 to 2009 also existed 1983 1988 2017 2019. Each regiolect contained pool syllables that were unique different from other regiolects. primary syllable types defined each present throughout study, but there changes frequencies variants these regiolect. developed an agent-based model birdsong learning within explore whether frequency consistent with unbiased copying or 2 forms transmission bias: bias content bias. Strong bias, possibly for more complex syllables, best models temporal dynamics In combination high estimated fidelity, this may explain why 36 years. examined physical parameters song time could be attributed acoustic adaptation habitat, using Landsat variables as proxy vegetation characteristics male’s territory. songs, which changed little time, revealed no coherent relationships therefore evidence adaptation.

Language: Английский

Citations

0

A densely sampled and richly annotated acoustic dataset from a wild bird population DOI Creative Commons
Nilo Merino Recalde, Andrea Estandía,

Loanne Pichot

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: July 3, 2023

Abstract We present a high-resolution, densely-sampled dataset of wild bird songs collected over multiple years from single population Great Tits ( Parus major ) in the UK. The includes 1,100,000 individual acoustic units 109,963 richly annotated songs, sung by more than 400 birds, and provides unprecedented detail on vocal behaviour birds. Here, we describe data collection processing procedures provide summary data. also discuss potential research questions that can be addressed using this dataset, including behavioural repeatability stability, links between performance reproductive success, timing song production, syntactic organisation learning wild. have made associated software tools publicly available with aim other researchers benefit resource use it to further our understanding

Language: Английский

Citations

1

Is sexiness cumulative? Arguments from birdsong culture DOI Creative Commons
Franny C. Geller, David C. Lahti

Animal Behaviour, Journal Year: 2023, Volume and Issue: 205, P. 131 - 137

Published: Sept. 29, 2023

'Cumulative cultural evolution' broadly describes the process by which traits accumulate improvements to efficacy over generations of social learning and innovation. The term can arguably be applied without much controversy evolution tool use, for example. However, it has recently gained momentum in aesthetic realm as well, where been used describe changes sexually selected traits. These, argument goes, gain sense evoking stronger emotional responses from receivers. Here, we use examples birdsong literature outline our objections application cumulative that achieve popularity based on no standard other than or sexual preference. Moreover, distinguish between categories are preferred different functional reasons, presenting arguments against describing each improvements. We conclude proposing a detailed nuanced understanding mechanisms outcomes change is more service behavioural science fraught binary distinction what cannot label 'cumulative'.

Language: Английский

Citations

1

A critical review of common pitfalls and guidelines to effectively infer parameters of agent-based models using Approximate Bayesian Computation DOI
Lander De Visscher, Bernard De Baets, Jan Baetens

et al.

Environmental Modelling & Software, Journal Year: 2023, Volume and Issue: 172, P. 105905 - 105905

Published: Nov. 30, 2023

Language: Английский

Citations

1

Detecting cultural evolution in a songbird species using community science data and computational modelling DOI
Yakov Pichkar, Abigail M. Searfoss, Nicole Creanza

et al.

Animal Behaviour, Journal Year: 2024, Volume and Issue: 210, P. 331 - 345

Published: Feb. 16, 2024

Language: Английский

Citations

0

Detecting cultural evolution in a songbird species using community-science data and computational modeling DOI Creative Commons
Yakov Pichkar, Abigail M. Searfoss, Nicole Creanza

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: Jan. 23, 2023

Abstract Song in oscine birds is learned across generations, and aspects of the song-learning process parallel genetic transmission: variation can be introduced into both cultural traits via copy-error, types are subject to drift selective pressure. Similarly allele frequencies population genetics, observing birdsong features improve our understanding transmission evolution. Uniquely, community-science databases provide rich spatiotemporal data with untapped potential evaluate evolution songbirds. Here we use field-study recordings chipping sparrows examine trends nearly seven decades song. We find that some syllable tend persist for much longer than others. Persistent songs contain more syllables shorter duration were observed fewer years. To draw inferences about effects learning biases on sparrow syllables, construct a spatially explicit agent-based model song learning. By comparing empirical analysis simulated distributions using three different strategies—neutral transmission, conformity bias, directional selection—we suggest unlikely select tutors neutrally or bias they learn their remarkably low copy-error rate.

Language: Английский

Citations

0