Richard McElreath

Jun 27, 2024 | biorxiv.org | Julia Ostner |Richard McElreath |Ben Kawam |Oliver Schuelke

AbstractA major goal of behavioural ecology is to explain how phenotypic and ecological factors shape the social relationships that animals form with one another. This inferential task is notoriously challenging. The social networks of interest are generally not observed, but must be approximated from behavioural samples. Moreover, these data are highly dependent: the observed network edges correlate with one another, due to biological and sampling processes.

May 21, 2024 | nature.com | Daniel Redhead |Matthew M. Gervais |Richard McElreath

AbstractFormal theoretical models propose that cooperative networks can be maintained when individuals condition behavior on social standing. Here, we empirically examine the predictions of such models of positive and negative indirect reciprocity using a suite of network-structured economic games in four rural Colombian communities (Nind = 496 individuals, Nobs = 53,876 ratings/transfers).

Nov 19, 2023 | nature.com | Levin Brinkmann |Maxime Derex |Anne-Marie Nussberger |Thomas L. Griffiths |Joseph Henrich |Joel Z. Leibo | +1 more

AbstractThe ability of humans to create and disseminate culture is often credited as the single most important factor of our success as a species. In this Perspective, we explore the notion of ‘machine culture’, culture mediated or generated by machines. We argue that intelligent machines simultaneously transform the cultural evolutionary processes of variation, transmission and selection. Recommender algorithms are altering social learning dynamics.

Nov 7, 2023 | besjournals.onlinelibrary.wiley.com | Cody Ross |Richard McElreath |Daniel Redhead

1 INTRODUCTION The application of theory and methods from network science (i.e. social network analysis) to ethological data has led to important advances in our understanding of the structural features of animal societies (Krause et al., 2009; Wey et al., 2008).