A Graphical Model for Collective Behavior Learning Using Minority Games

2014 ◽  
pp. 284-295
Author(s):  
Farhan Khawar ◽  
Zengchang Qin
Keyword(s):  
Collective Behavior ◽  
Graphical Model ◽  
Minority Games ◽  
Behavior Learning

Behavior Learning in Minority Games

2011 ◽  
pp. 125-136 ◽  
Author(s):  
Guanyi Li ◽  
Ying Ma ◽  
Yingsai Dong ◽  
Zengchang Qin
Keyword(s):  
Minority Games ◽  
Behavior Learning

scholarly journals Collective behavior learning by differentiating personal preference from peer influence

2018 ◽  
Vol 159 ◽  
pp. 233-243 ◽  
Author(s):  
Zan Zhang ◽  
Lin Liu ◽  
Hao Wang ◽  
Jiuyong Li ◽  
Daning Hu ◽  
...  
Keyword(s):  
Peer Influence ◽  
Collective Behavior ◽  
Personal Preference ◽  
Behavior Learning

Concepts—Behavior—Learning

1960 ◽  
Vol 5 (5) ◽  
pp. 145-146
Author(s):  
ERNEST R. HILGARD
Keyword(s):  
Behavior Learning

Voronoi Analysis of a Soccer Game

2004 ◽  
Vol 9 (3) ◽  
pp. 233-240 ◽  
Author(s):  
S. Kim
Keyword(s):  
Collective Behavior ◽  
Quantitative Assessment ◽  
The Other ◽  
Analysis Method ◽  
Random System ◽  
Soccer Game ◽  
Voronoi Polygons ◽  
The Mean

This paper describes a Voronoi analysis method to analyze a soccer game. It is important for us to know the quantitative assessment of contribution done by a player or a team in the game as an individual or collective behavior. The mean numbers of vertices are reported to be 5–6, which is a little less than those of a perfect random system. Voronoi polygons areas can be used in evaluating the dominance of a team over the other. By introducing an excess Voronoi area, we can draw some fruitful results to appraise a player or a team rather quantitatively.

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