IRIDIA-CoDE (Institut de Recherches Interdisciplinaires et de Développements en Intelligence Artificielle, Department of Computer and Decision Engineering), Université Libre de Bruxelles, Brussels, Belgium.
PLoS One. 2011;6(5):e19888. doi: 10.1371/journal.pone.0019888. Epub 2011 May 18.
When selecting a resource to exploit, an insect colony must take into account at least two constraints: the resource must be abundant enough to sustain the whole group, but not too large to limit exploitation costs, and risks of conflicts with other colonies. Following recent results on cockroaches and ants, we introduce here a behavioral mechanism that satisfies these two constraints. Individuals simply modulate their probability to switch to another resource as a function of the local density of conspecifics locally detected. As a result, the individuals gather at the smallest resource that can host the whole group, hence reducing competition and exploitation costs while fulfilling the overall group's needs. Our analysis reveals that the group becomes better at discriminating between similar resources as it grows in size. Also, the discrimination mechanism is flexible and the group readily switches to a better suited resource as it appears in the environment. The collective decision emerges through the self-organization of individuals, that is, in absence of any centralized control. It also requires a minimal individual cognitive investment, making the proposed mechanism likely to occur in other social species and suitable for the development of distributed decision making tools.
当选择一个资源进行开发时,昆虫群体必须考虑至少两个约束条件:资源必须足够丰富以维持整个群体,但也不能太大以至于限制开发成本,并且还需要考虑与其他群体发生冲突的风险。在最近关于蟑螂和蚂蚁的研究结果的基础上,我们在这里引入了一种满足这两个约束条件的行为机制。个体只需根据本地检测到的同种个体的局部密度,调整其切换到另一个资源的概率。结果,个体聚集在可以容纳整个群体的最小资源上,从而减少了竞争和开发成本,同时满足了整个群体的需求。我们的分析表明,随着群体规模的增大,其对相似资源的区分能力也会提高。此外,这种辨别机制具有灵活性,当环境中出现更好的资源时,群体可以迅速切换到更好的资源。集体决策是通过个体的自组织出现的,也就是说,在没有任何集中控制的情况下出现的。它还需要最小的个体认知投入,因此所提出的机制很可能在其他社会物种中出现,并且适合开发分布式决策工具。