scholarly journals Monotone Quantifiers Emerge via Iterated Learning

2021 ◽  
Vol 45 (8) ◽  
Author(s):  
Fausto Carcassi ◽  
Shane Steinert‐Threlkeld ◽  
Jakub Szymanik
Keyword(s):  
Iterated Learning

Can iterated learning explain the emergence of graphical symbols?

2012 ◽  
pp. 33-50
Author(s):  
Simon Garrod ◽  
Nicolas Fay ◽  
Shane Rogers ◽  
Bradley Walker ◽  
Nik Swoboda
Keyword(s):  
Iterated Learning

scholarly journals Compositional Hierarchical Structure Evolves through Cultural Transmission: An Experimental Study

2019 ◽  
Vol 4 (2) ◽  
pp. 83-107 ◽  
Author(s):  
Carmen Saldana ◽  
Simon Kirby ◽  
Robert Truswell ◽  
Kenny Smith
Keyword(s):  
Language Learning ◽  
Language Learners ◽  
Hierarchical Structure ◽  
Cultural Transmission ◽  
Artificial Language ◽  
Compositional Structure ◽  
Evolutionary Linguistics ◽  
Artificial Language Learning ◽  
Learning Techniques ◽  
Iterated Learning

AbstractCompositional hierarchical structure is a prerequisite for productive languages; it allows language learners to express and understand an infinity of meanings from finite sources (i.e., a lexicon and a grammar). Understanding how such structure evolved is central to evolutionary linguistics. Previous work combining artificial language learning and iterated learning techniques has shown how basic compositional structure can evolve from the trade-off between learnability and expressivity pressures at play in language transmission. In the present study we show, across two experiments, how the same mechanisms involved in the evolution of basic compositionality can also lead to the evolution of compositional hierarchical structure. We thus provide experimental evidence showing that cultural transmission allows advantages of compositional hierarchical structure in language learning and use to permeate language as a system of behaviour.

scholarly journals Sequence Memory Constraints Give Rise to Language-Like Structure through Iterated Learning

PLoS ONE ◽  
2017 ◽  
Vol 12 (1) ◽  
pp. e0168532 ◽  
Author(s):  
Hannah Cornish ◽  
Rick Dale ◽  
Simon Kirby ◽  
Morten H. Christiansen
Keyword(s):  
Iterated Learning ◽  
Sequence Memory ◽  
Memory Constraints

Using Category Structures to Test Iterated Learning as a Method for Identifying Inductive Biases

2008 ◽  
Vol 32 (1) ◽  
pp. 68-107 ◽  
Author(s):  
Thomas L. Griffiths ◽  
Brian R. Christian ◽  
Michael L. Kalish
Keyword(s):  
Iterated Learning

scholarly journals The emergence of duality of patterning through iterated learning: Precursors to phonology in a visual lexicon

2012 ◽  
Vol 4 (4) ◽  
pp. 381-418 ◽  
Author(s):  
Alex Del Giudice
Keyword(s):  
Design Feature ◽  
Combinatorial Structure ◽  
Human Language ◽  
Lexical Structure ◽  
Small Stock ◽  
Iterated Learning ◽  
Human Participants ◽  
Duality Of Patterning ◽  
Future Work ◽  
Infinite Set

AbstractDuality of Patterning, one of Hockett's (1960) proposed design features unique to human language, refers in part to the arrangements of a relatively small stock of distinguishable meaningless sounds which are combined to create a potentially infinite set of morphemes. Literature regarding the emergence of this design feature is less abundant than that exploring other levels of structure as focus is more often given to the emergence of syntax. In an effort to explore where combinatorial structure of meaningless elements arises the results of two pilot experiments are presented within which we observe human participants modifying a small lexicon of visual symbols through a process of iterated learning. As this lexicon evolves there is evidence that it becomes simpler and more learnable, more easily transmitted. I argue that these features are a consequence of spontaneous emergence of combinatorial, sub-lexical structure in the lexicon, that the pattern of emergence is more complex than the most widely espoused explanation suggests, and I propose ways in which future work can build on what we learn from these pilot experiments to confirm this hypothesis.

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