Add to ORKGThis paper presents a new computational model for studying the origins and evolution of compositional languages grounded through the interaction between agents and their environment. The model is based on previous work on adaptive grounding of lexicons and the iterated learning model. Although the model is still in a developmental phase, the first results show that a compositional language can emerge in which the structure reflects regularities present in the population's environment
Human language has been described as a system that makes use of finite means to express an unlimited...
This paper investigates the effect of predefining semantics in modelling the evolution of compositio...
This paper proposes a coevolutionary scenario on the origins of compositionality and word order regu...
AbstractThis paper describes a new model on the evolution and induction of compositional structures ...
Available from MIT Press via the DOI in this recordIterated learning takes place when the input into...
Compositionality and regularity are universals in human languages; in most languages, complex expres...
Experimental work in the field of language evolution has shown that novel signal systems become more...
By capturing statistical patterns in large corpora, machine learning has enabled significant advance...
for the Emergence of Language Abstract Language is culturally transmitted. Iterated learning, the pr...
The Iterated Learning Framework (Kirby 2002a, Kirby 2002b, Kirby and Hurford 2002) has been used to...
Funding Information: We thank Yonatan Bisk for his valuable feedback and suggestions on this work. W...
Language arises from the interaction of three complex adaptive systems — biological evolution, learn...
Previous research by Kirby et al. has found that strikingly compositional language systems can be de...
Language maps signals onto meanings through the use of two distinct types of structure. First, the s...
We present three hierarchical models for the evolution of compositional language. Each has the basic...
Human language has been described as a system that makes use of finite means to express an unlimited...
This paper investigates the effect of predefining semantics in modelling the evolution of compositio...
This paper proposes a coevolutionary scenario on the origins of compositionality and word order regu...
AbstractThis paper describes a new model on the evolution and induction of compositional structures ...
Available from MIT Press via the DOI in this recordIterated learning takes place when the input into...
Compositionality and regularity are universals in human languages; in most languages, complex expres...
Experimental work in the field of language evolution has shown that novel signal systems become more...
By capturing statistical patterns in large corpora, machine learning has enabled significant advance...
for the Emergence of Language Abstract Language is culturally transmitted. Iterated learning, the pr...
The Iterated Learning Framework (Kirby 2002a, Kirby 2002b, Kirby and Hurford 2002) has been used to...
Funding Information: We thank Yonatan Bisk for his valuable feedback and suggestions on this work. W...
Language arises from the interaction of three complex adaptive systems — biological evolution, learn...
Previous research by Kirby et al. has found that strikingly compositional language systems can be de...
Language maps signals onto meanings through the use of two distinct types of structure. First, the s...
We present three hierarchical models for the evolution of compositional language. Each has the basic...
Human language has been described as a system that makes use of finite means to express an unlimited...
This paper investigates the effect of predefining semantics in modelling the evolution of compositio...
This paper proposes a coevolutionary scenario on the origins of compositionality and word order regu...