Spontaneous evolution of linguistic structure-an iterated learning model of the emergence of regularity and irregularity

By Simon Kirby. 2001

593 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Cultural Studies, Molecular Biology

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Citations in the corpus

Emergence of Grounded Compositional Language in Multi-Agent Populations (2017, background): “By compositionality we mean the combination of multiple words to create meaning, as opposed to holistic languages that have a unique word for every possible meaning (Kirby 2001).”
Minimal Requirements for the Emergence of Learned Signaling (2014, background): “A third strand of work has focused on the evolution of communication via iterated learning (Kirby, 2001) — repeated cycles of production and observational learning, often but not always with population turnover. In generational turnover models, one generation of learners learns from behavior produce”
The Primacy Bias in Deep Reinforcement Learning (2022, background): “Resets can be linked to cultural transmission between generations (Kirby, 2001), where an agent before a reset transmits its knowledge to an agent after the reset through a buffer.”
Progress in the Simulation of Emergent Communication and Language (2003, background): “Other simulations have shown that if agents needed to communicate about embedded propositional meanings , a kind of grammar could arise to match this embedded structure (Kirby, 1999, 2001; Brighton, 2002 ).”
A Multi-Facet Survey on Memetic Computation (2011, background): “is active during the transmission and retention stages [167],”
On the Impact of Robotics in Behavioral and Cognitive Sciences: From Insect Navigation to Human Cognitive Development (2010, unknown): “, Kirby [75], Steels [143]), and showed how a linguistic system could”
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).”
Innateness and culture in the evolution of language (2006, background): “Batali, 1998; Kirby, 2001 ), the overwhelming conclusion is that strong biases are not necessary to explain the emergence of pervasive regularity.”
Words as alleles: connecting language evolution with Bayesian learners to models of genetic drift (2010, background): “The resulting process of ‘iterated learning’ (ﬁgure 1 a ) can be studied to examine the dynamics of language evolution and the properties of the languages that it produces (Kirby 2001; Grifﬁths & Kalish 2007; Kirby et al. 2007).”
Iterated learning for emergent systematicity in VQA (2021, methodology): “Ren et al. (2020) present neural IL following the principles of Kirby (2001), where neural agents play a referential game and evolve a communication protocol through IL.”