Language Evolution by Iterated Learning With Bayesian Agents

By T. Griffiths, Michael L. Kalish. Cognitive Sciences, 2007

306 citations recorded by the source corpus.

Subfields: Cultural Studies, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/31b676daf047421985d6e26d60c51a522ca70f0a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cultural Studies

1. Kenny Smith
2. Simon Kirby
3. Hannah Cornish
4. T. Griffiths
5. Michael L. Kalish
6. Morten H. Christiansen
7. N. Chater

In Molecular Biology

1. Kenny Smith
2. Simon Kirby
3. T. Griffiths
4. Michael L. Kalish

Citations in the corpus

• Cumulative cultural evolution in the laboratory: An experimental approach to the origins of structure in human language (2008, background): “Models of this process (4-13) demonstrate that, over repeated episodes of transmission, behaviours transmitted by iterated learning tend to: 1.”
• When LLMs Play the Telephone Game: Cultural Attractors as Conceptual Tools to Evaluate LLMs in Multi-turn Settings (2024, unknown): “Iterated Learning Parallel works ((Ren et al., 2024; Zhu and Griffiths, 2024)) have studied similar questions using different methodologies, namely the framework of Bayesian Iterated Learning (BIL) ((Kirby et al., 2014; Griffiths and Kalish, 2007)).”