Despite playing a pivotal role in the inception of animal culture studies, macaque social learning is surprisingly understudied. Social learning is important to survival and influenced by dominance and affiliation in social animals. Individuals generally rely on social learning when individual learning is costly, and selectively use social learning strategies influencing what is learned and from whom. Here, we combined social learning experiments, using extractive foraging tasks, with network-based diffusion analysis (using various social relationships) to investigate the transmission of social information in free-ranging Barbary macaques. We also investigated the influence of task difficulty on reliance on social information and evidence for social learning strategies. Social learning was detected for the most difficult tasks only, with huddling relations outside task introductions, and observation networks during task introductions, predicting social transmission. For the most difficult task only, individuals appeared to employ a social learning strategy of copying the most successful demonstrator observed. Results indicate that high social tolerance represents social learning opportunities and influences social learning processes. The reliance of Barbary macaques on social learning, and cues of model-success supports the costly information hypothesis. Our study provides more statistical evidence to the previous claims indicative of culture in macaques.
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http://dx.doi.org/10.1038/s41598-022-26699-6 | DOI Listing |
Sci Rep
January 2025
University of Ghana, P.O. Box 134, Legon-Accra, Ghana.
Sentiment analysis has become a difficult and important task in the current world. Because of several features of data, including abbreviations, length of tweet, and spelling error, there should be some other non-conventional methods to achieve the accurate results and overcome the current issue. In other words, because of those issues, conventional approaches cannot perform well and accomplish results with high efficiency.
View Article and Find Full Text PDFBMC Psychol
January 2025
Universidad Nacional de Trujillo, Trujillo, Perú.
Background: In recent years, the adoption of artificial intelligence (AI) has become increasingly relevant in various sectors, including higher education. This study investigates the psychosocial factors influencing AI adoption among Peruvian university students and uses an extended UTAUT2 model to examine various constructs that may impact AI acceptance and use.
Method: This study employed a quantitative approach with a survey-based design.
BMJ Open
January 2025
Queensland Cerebral Palsy and Rehabilitation Research Centre, The University of Queensland, South Brisbane, Queensland, Australia.
Introduction: Reaching social milestones is an important goal of childhood. Children with acquired brain injury (ABI) and cerebral palsy (CP) frequently experience challenges with social functioning and participation. The Programme for the Education and Enrichment of Relational Skills (PEERS) is a group-based social skills programme for adolescents.
View Article and Find Full Text PDFTrends Ecol Evol
January 2025
Department of Environmental Science and Policy, University of California, One Shields Ave, Davis, CA 95616, USA.
Transgenerational plasticity (TGP) has largely focused on how parental exposure to ecological conditions shapes the phenotypes of future generations. However, organisms acquire information about their ecological environment via social learning, which can also shape TGP in profound ways. We demonstrate that non-parents alter how parents detect and respond to environmental cues in ways that spillover to affect offspring, non-parents influence offspring even without direct physical interactions, and parental cues received by offspring can alter the phenotypes of other juveniles.
View Article and Find Full Text PDFEcon Hum Biol
December 2024
Institute for social research, Oslo PB 0208, Norway. Electronic address:
We investigate whether gender differences in physical maturity during adolescence can explain gender differences in educational and labour market performance. Using survey data with measures of physical maturity linked to register data on education and labour market outcomes, we analyse the importance of physical maturity for gender differences in both the short and long terms. The results show that gender differences in physical maturity partially explain both the gender gap in educational performance (in girls' favour) and the gender gap in labour market outcomes at age 33 (in boys' favour).
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