… a kind of recurrent neural network with an exponential decay to emulate a “pushdown stack”
… past demographic history as well as the relatively rarity of selective sweeps; evolution might …

… of interest in neural networks in AI, and the emergence of renewed study in … in a language
in which they are generally active leads to a range of responses, including simply changing a …

… , the focus of this review, which looks at the emergence of … spread of these genes in the
population, we would expect an … authors trained participants on a language in which each object …

… for a task-specific model that is applied to a language in which it was not trained for. Their …
Additionally, by viewing the neural networks in question as time-evolving complex systems …

… The evolution of articles can be analysed as a cycle of states … ], we refer to this population-scale
model as an origin-fixation … Specifically, we ask for the probability that a language in …

… and development of languages and species evolution. This … CFGs, indeed, cannot express
a language in which correct … learning techniques, such as neural networks, learners try to …

… evolution is a challenging issue, given the unavoidable complexity of the problem and its
multiple facets. Language evolution … Our development of the morphospace allows us not only to …

… emergence, I show that linguistic structure emerges as a natural outcome of cultural evolution
… On the other hand, a language in which some regularity exists in the mapping between …

… On such a view, just as genes are one factor in evolution, words are just a small … history. In
illustration, we compare the role of Hox genes with how history speaks through talking people. …

… 1,786 variables such as ‘population birth rate’ and ‘linguistic … –variable network to chart the
field’s development and key … ), or to the use of a language in speech, or to the entire domain …