Small worlds: the dynamics of networks between order and randomness
Small worlds: the dynamics of networks between order and randomness
Grounding symbols through evolutionary language games
Simulating the evolution of language
Language as a Complex Adaptive System
PPSN VI Proceedings of the 6th International Conference on Parallel Problem Solving from Nature
Constructivist development of grounded construction grammars
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
The emergence of compositional structures in perceptually grounded language games
Artificial Intelligence - Special volume on connecting language to the world
Learning to coordinate in complex networks
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Hi-index | 0.01 |
This article adopts the category game model, which simulates the origins and evolution of linguistic categories in a group of artificial agents, to evaluate the effect of social structure on linguistic categorization. Based on the simulation results in a number of typical networks, we examine the isolating and collective effects of some structural features, including average degree, shortcuts, and level of centrality, on the categorization process. This study extends the previous simulations mainly on lexical evolution, and illustrates a general framework to systematically explore the effect of social structure on language evolution.