Abstract
Evolutionary computation is used to explore the emergence of language, focusing particularly on the intrinsic relationship between the lexicon and syntax, and the exogenous relationship between language use and cultural development. A multi-agent model traces a coevolution of the lexicon and syntax, and demonstrates that linguistic and some distance constrain on communications can trigger and maintain cultural heterogeneity. This model also traces an optimization process using evolutionary mechanisms based on local information. Certain mechanisms in this model, such as recurrent pattern extraction, strength-based competition and indirect feedback, can be generalized to study robot learning, optimization and other evolutionary phenomena.
Original language | English |
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Title of host publication | 2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005. Proceedings |
Pages | 1629-1636 |
Number of pages | 8 |
Volume | 2 |
Publication status | Published - 31 Oct 2005 |
Externally published | Yes |
Event | 2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005 - Edinburgh, Scotland, United Kingdom Duration: 2 Sept 2005 → 5 Sept 2005 |
Conference
Conference | 2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005 |
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Country/Territory | United Kingdom |
City | Edinburgh, Scotland |
Period | 2/09/05 → 5/09/05 |
ASJC Scopus subject areas
- General Engineering