Abstract
This paper proposes a language acquisition framework that includes both intra-generational transmission among children and inter-generational transmission between adults and children. A multi-agent computational model that adopts this framework is designed to evaluate the relative roles of these forms of cultural transmission in language evolution. It is shown that intra-generational transmission helps accelerate the convergence of linguistic knowledge and introduce changes in the communal language, while inter-generational transmission helps preserve an initial language to a certain extent. Due to conventionalisation during transmission, both forms of transmission collectively achieve a dynamic equilibrium of language evolution: On short time-scales, good understandability is maintained among individuals across generations; in the long run, language change is inevitable.
Original language | English |
---|---|
Pages (from-to) | 69-85 |
Number of pages | 17 |
Journal | Connection Science |
Volume | 22 |
Issue number | 1 |
DOIs | |
Publication status | Published - 1 Mar 2010 |
Externally published | Yes |
Keywords
- Computational simulation
- Conventionalisation
- Cultural transmission
- Language evolution
ASJC Scopus subject areas
- Software
- Human-Computer Interaction
- Artificial Intelligence