Rethinking Natural Swarm Intelligence from the Crowded Selfish Herd Scenario

EasyChair Preprint no. 1744

Abstract

We elaborated our latest published work that modeled the behavioral evolution of egoistic prey individuals in a crowded environment. The simulations have demonstrated that various patterns of collective motion can emerge purely from the intraspecific competition among selfish agents, regardless of group utilities like the survival rate or foraging benefit. These findings infer natural swarm behavior could be not as intelligent if swarm intelligence refers to the improvement of overall performance through the interaction of individuals. Through introducing our findings with extended discussions, we expect to bring a new perspective on natural swarm behavior and hint some new ideas about computational swarm intelligence.

Keyphrases: Behavioral Evolution, collective motion, crowding effect, intraspecific competition, selfish herd

@Booklet{EasyChair:1744,
  author = {Wen-Chi Yang},
  title = {Rethinking Natural Swarm Intelligence from the Crowded Selfish Herd Scenario},
  howpublished = {EasyChair Preprint no. 1744},

  year = {EasyChair, 2019}}