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The study of language evolution has benefited enormously from the contribution made by computational simulations of the cultural transmission of language over the past ten years. However, we still have not explored or confirmed these findings empirically in a human population. This thesis presents a novel experimental method for investigating the emergence and cultural transmission of language under controlled laboratory settings. By integrating techniques from the modelling of iterated learning, with techniques used to investigate language acquisition via artificial language learning, a suitable empirical framework is created, opening up new avenues of research for understanding human language and culture.
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Stored only when both papers are in the corpus — 9 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.