… 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 …

… 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 …

… We will turn in a moment to three clusters of episodes in the history of work in the evolution
of … thela (human) language faculty Many people have argued that the evolution of the human …

… , and learning in the origin and evolution of language. In particular, … descent and
Backpropagation in neural networks, and so on. … The inherent intractability of learning a language …

… • Finally, we thank all the other people who kindly agreed to let us reproduce figures from …
from the processes underlying the origin and evolution of languages, possibly from a common …

… neural network small and simple in order to demonstrate that efficient (social) learning can
emerge … showed that the individuals of the evolved populations did generally not differ in the …

… evolution: eg, codon evolution and evolution of intercellular signaling, which are important
in the emergence … We represent vocabulary of a language in a high-dimensional space, with …

… of signals—"signaling strategies" can emerge and stabilize in a population without intelligent
agency of any kind, let alone language. Bacteria can evolve to send and receive signals. …

… models in which languages evolve as they are transmitted … and the encoder are neural
networks. During learning the … mechanism which can explain the development of expressivity and …