Name
Abstract | ||
|---|---|---|
Cultural Algorithms can be used to evolve structural functional models of urban centers. The population of the Cultural Algorithm is a set of urban planning agents, each of whom competes to build up a high level model of the site from a set of building blocks. These building blocks are produced through the use of techniques from Data Mining and Complex Systems. The best model is compared with existing models of modern cities in order to identify the similarities and differences between ancient and modern cities. The resultant comparison suggests that early Monte Albán exhibited a sector-based model that is characteristic of some modern cities. In addition, the plan generated by the Cultural Algorithm is able to add insight into the plan generated by a site expert. This suggests that such an approach can be generalized to other urban sites and foster a new understanding of the urbanization process. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/MCI.2014.2326103 | Computational Intelligence Magazine, IEEE |
Keywords | Field | DocType |
cultural aspects,data mining,town and country planning,complex systems,cultural algorithms,data mining techniques,sector-based model,structural functional models,urban centers,urban occupational plan extraction,urban planning agents,urbanization process | Complex system,Urbanization,Population,Computer science,Algorithm,Urban planning,Cultural algorithm,High level model | Journal |
Volume | Issue | ISSN |
9 | 3 | 1556-603X |
Citations | PageRank | References |
1 | 0.36 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Thaer W. Jayyousi | 1 | 1 | 0.36 |
| Robert G. Reynolds | 2 | 610 | 188.20 |