Title | ||
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Distribution and Selection of Colors on a Diorama to Represent Social Issues Using Cultural Algorithms and Graph Coloring. |
Abstract | ||
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We present a problem know in writing about social modeling associated with the adequate distribution and color selection of societies in a diorama to specify relationships between them; and also between their principal attributes to represent the symbolic capital of a society. Our case study is related to the diversity of cultural patterns described in Memory Alpha. Thus, we use 8 principal attributes with a range of 64 colors. The purpose of this research is to apply the cultural algorithms approach with color graph to solve the proposed problem and subsequently represent the solution within a diorama. The Memory Alpha is conformed by 1087 societies, which permits to demonstrate that the matching of social issues allows correct distribution and color selection. In summary we are proposing an innovative representation for societies location. |
Year | DOI | Venue |
---|---|---|
2012 | 10.1007/978-3-642-28765-7_8 | DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE |
Field | DocType | Volume |
The Symbolic,Graph,Orthogonal array,Symbolic capital,Diorama,Social issues,Computer science,Algorithm,Artificial intelligence,Social modeling,Machine learning,Graph coloring | Conference | 151 |
ISSN | Citations | PageRank |
1867-5662 | 0 | 0.34 |
References | Authors | |
3 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Víctor Ricardo Cruz-Álvarez | 1 | 4 | 1.16 |
Fernando Montes-Gonzalez | 2 | 12 | 3.89 |
Alberto Ochoa | 3 | 10 | 3.45 |
Rodrigo Edgar Palacios-Leyva | 4 | 3 | 1.08 |