Iterated Learning: A Framework for the Emergence of Language

By Kenny Smith, Simon Kirby, Henry Brighton. Artificial Life, 2003

314 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Communication, Cultural Studies

View Paper: https://www.semanticscholar.org/paper/eed52cf343cca9f11496452b6f87faded8164c8f

How researchers see this paper

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

In Cognitive Neuroscience

1. Pierre-Yves Oudeyer
2. Frederic Kaplan
3. N. Chater
4. Luc Steels
5. Morten H. Christiansen
6. T. Griffiths
7. Igor Mordatch
8. Michael L. Kalish

In Communication

1. Luc Steels
2. Morten H. Christiansen
3. T. Griffiths
4. N. Chater
5. Michael L. Kalish
6. Katrien Beuls

In Cultural Studies

1. Pierre-Yves Oudeyer
2. Frederic Kaplan
3. Karl Tuyls
4. T. Griffiths
5. Wander Lowie
6. N. Chater
7. Angeliki Lazaridou
8. Karl Moritz Hermann

Citations in the corpus

• Emergence of Linguistic Communication from Referential Games with Symbolic and Pixel Input (2018, background): “…when presented with entangled input data (Bengio et al., 2013) due to the difficulty of uncovering the true factors of variation, corroborating the hypothesis of Smith et al. (2003) that structured (compositional) language is most likely to emerge when agents perceive the world as structured.”
• A Paradigm for Situated and Goal-Driven Language Learning (2016, background): “2 A related line of work in evolutionary linguistics constructs a similar language learning scenario entirely without fixed-language agents (Smith et al., 2003; Steels, 2012; Kirby et al., 2014).”
• Agent-Based Models of Strategies for the Emergence and Evolution of Grammatical Agreement (2013, methodology): “Agent-based models are used with increasing success to study issues in the origins of language [10–12].”
• A Dynamic Systems Theory approach to second language acquisition (2007, background): “For example, Kirby and his colleagues, who have developed the ITERATED LEARNING MODEL, have been able to model “the process by which the output of one individual’s learning becomes the input of other individuals’ learning” ( Smith et al., 2003, p. 371 ).”
• Language as shaped by the brain. (2008, methodology): “In contrast, Smith et al. (2003a), using a different model of how information is learned, indicate how compositional structure in language might have resulted from the complex interaction of learning constraints and cultural 504 BEHAVIORAL AND BRAIN SCIENCES (2008) 31:5…”
• Language Evolution by Iterated Learning With Bayesian Agents (2007, methodology): “For example, it has been argued that the regular structure of compositional languages means that they can be learned from less data, and are thus more likely to pass through the information bottleneck (Kirby, 2001; Brighton, 2002; Smith et al., 2003).”
• Discovering communication (2006, background): “…results were obtained in the domains of lexicon formation (Hutchins and Hazlehurst 1995, Steels 1996, Shoham and Tennenholtz 1997, Ke et al. 2002, Smith et al. 2003, and Kaplan 2005), phonological evolution (De Boer 2001, Oudeyer 2005, 2006) and grammatical aspects of language acquisition…”