Artificial Life VI


Spatial Centrality of Dominants without Positional Preference

Charlotte K. Hemelrijk
AI Lab, Department of Computer Science, University of Zurich, Switzerland


Abstract

In many group-living animals dominant individuals occupy the center of a group. This is generally thought to reflect a preference for locations, that provide optimal protection against predators. However, in this paper I will show that such spatial-structure also emerges among artificial entities that lack preference for any spatial location.

The artificial entities dwell in a homogeneous world and are completely identical at the start of the simulation. They are gregarious and perform dominance interactions in which the effects of winning and losing are self-reinforcing. Varying essential parameters of the model revealed that: 1) Social-spatial patterns are stronger among entities that perceive each others rank directly compared to those that estimate rank of others based on personal experiences. 2) Stronger social-spatial patterns result when entities obligatory attack others than when attack-rate was negatively dependent on rank-distance. 3) Raising the intensity of attack increased the centrality of dominants for the Obligatory attack system, but weakened it for the Rank-Distance Decreasing attack system. Also, other social interaction patterns emerged, such as bidirectionality of aggression and a correlation between rank and frequency of attack. Such epiphenomena may underlie the variation of social-spatial patterns found in real animals.


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