Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1162/artl_a_00051 | Artificial Life |
Keywords | Field | DocType |
Computer simulation,category game,complex networks | Categorization,On Language,Computer science,Centrality,Complex network,Artificial intelligence,Linguistics,Machine learning | Journal |
Volume | Issue | ISSN |
18 | 1 | 1064-5462 |
Citations | PageRank | References |
3 | 0.49 | 8 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tao Gong | 1 | 25 | 6.91 |
| Andrea Baronchelli | 2 | 465 | 45.58 |
| Andrea Puglisi | 3 | 71 | 6.19 |
| Vittorio Loreto | 4 | 473 | 43.65 |