“…It has been demonstrated in a wide variety of studies that, after several generations of cultural transmission, artificial languages can gradually adapt to the biases of the human learners and the environments in which they are used, yielding emergent linguistic phenomena, such as compositionality (Beckner et al, 2017; Kirby et al, 2008; Kirby et al, 2015, combinatoriality (Verhoef et al, 2015), semantic category structure (Canini et al, 2014; Carr et al, 2017; Silvey et al, 2019, regularization (Smith & Wonnacott, 2010), and argument marking (Motamedi et al, 2021), among many other things. For reviews, see Bailes and Cuskley (2023), Kirby (2017), Kirby et al (2014), Smith (2022), andTamariz (2017). Kirby et al (2008) described the first experimental application of the iterated learning framework (which had previously been confined to computational modeling), showing that compositional structure-a systematic relationship between recombinant linguistic units and meaningcould spontaneously emerge under a bottleneck on transmission.…”