Franks Nigel R, Pratt Stephen C, Mallon Eamonn B, Britton Nicholas F, Sumpter David J T
School of Biological Sciences, University of Bristol, Woodland Road, Bristol BS8 IUG, UK.
Philos Trans R Soc Lond B Biol Sci. 2002 Nov 29;357(1427):1567-83. doi: 10.1098/rstb.2002.1066.
The sharing and collective processing of information by certain insect societies is one of the reasons that they warrant the superlative epithet 'super-organisms' (Franks 1989, Am. Sci. 77, 138-145). We describe a detailed experimental and mathematical analysis of information exchange and decision-making in, arguably, the most difficult collective choices that social insects face: namely, house hunting by complete societies. The key issue is how can a complete colony select the single best nest-site among several alternatives? Individual scouts respond to the diverse information they have personally obtained about the quality of a potential nest-site by producing a recruitment signal. The colony then deliberates over (i.e. integrates) different incoming recruitment signals associated with different potential nest-sites to achieve a well-informed collective decision. We compare this process in honeybees and in the ant Leptothorax albipennis. Notwithstanding many differences - for example, honeybee colonies have 100 times more individuals than L. albipennis colonies - there are certain similarities in the fundamental algorithms these societies appear to employ when they are house hunting. Scout honeybees use the full power of the waggle dance to inform their nest-mates about the distance and direction of a potential nest-site (and they indicate the quality of a nest-site indirectly through the vigour of their dance), and yet individual bees perhaps only rarely make direct comparisons of such sites. By contrast, scouts from L. albipennis colonies often compare nest-sites, but they cannot directly inform one another of their estimation of the quality of a potential site. Instead, they discriminate between sites by initiating recruitment sooner to better ones. Nevertheless, both species do make use of forms of opinion polling. For example, scout bees that have formerly danced for a certain site cease such advertising and monitor the dances of others at random. That is, they act without prejudice. They neither favour nor disdain dancers that advocate the site they had formerly advertised or the alternatives. Thus, in general the bees are less well informed than they would be if they systematically monitored dances for alternative sites rather than spending their time reprocessing information they already have. However, as a result of their lack of prejudice, less time overall will be wasted in endless debate among stubborn and potentially biased bees. Among the ants, the opinions of nest-mates are also pooled effectively when scouts use a threshold population of their nest-mates present in a new nest-site as a cue to switch to more rapid recruitment. Furthermore, the ants' reluctance to begin recruiting to poor nest-sites means that more time is available for the discovery and direct comparison of alternatives. Likewise, the retirement of honeybee scouts from dancing for a given site allows more time for other scouts to find potentially better sites. Thus, both the ants and the bees have time-lags built into their decision-making systems that should facilitate a compromise between thorough surveys for good nest-sites and relatively rapid decisions. We have also been able to show that classical mathematical models can illuminate the processes by which colonies are able to achieve decisions that are relatively swift and very well informed.
某些昆虫群体对信息的共享和集体处理,是它们当之无愧地被冠以“超级有机体”这一最高级 epithet 的原因之一(弗兰克斯,1989 年,《美国科学家》第 77 卷,第 138 - 145 页)。我们描述了一项详细的实验和数学分析,该分析针对社会性昆虫面临的、可以说是最困难的集体选择中的信息交换和决策过程:即整个群体寻找居所的过程。关键问题在于,一个完整的蚁群或蜂群如何能在多个备选地点中挑选出唯一最佳的筑巢地点?个体侦察员通过发出招募信号,对它们个人获取的有关潜在筑巢地点质量的各种信息做出反应。然后,群体对与不同潜在筑巢地点相关的不同传入招募信号进行审议(即整合),以做出明智的集体决策。我们比较了蜜蜂和白腹黑蚁在这一过程中的情况。尽管存在许多差异——例如,蜜蜂群体的个体数量比白腹黑蚁群体多 100 倍——但这些群体在寻找居所时所采用的基本算法仍存在某些相似之处。侦察蜜蜂利用摇摆舞的全部功能向同伴通报潜在筑巢地点的距离和方向(并且它们通过舞蹈的活力间接表明筑巢地点的质量)然而,个体蜜蜂可能很少直接比较这些地点。相比之下白腹黑蚁群体的侦察员经常比较筑巢地点,但它们无法直接告知彼此对潜在地点质量的评估。相反它们通过更快地开始招募更好的地点来区分不同地点。尽管如此,这两个物种都采用了民意调查的形式。例如,之前为某个地点跳舞的侦察蜜蜂会停止这种宣传,随机监测其他蜜蜂的舞蹈。也就是说,它们不带偏见地行动。它们既不偏袒也不轻视那些宣传它们之前所宣传地点或其他备选地点的舞者。因此,总体而言,蜜蜂所掌握的信息不如它们系统地监测其他备选地点的舞蹈、而不是花时间重新处理它们已经拥有的信息时那么充分。然而,由于它们没有偏见,总体上在固执且可能有偏见的蜜蜂之间的无休止争论中浪费的时间会更少。在蚂蚁中,当侦察员将新筑巢地点中同伴的阈值数量用作切换到更快招募的线索时,同伴的意见也能有效地汇总。此外,蚂蚁不愿开始招募到较差的筑巢地点意味着有更多时间用于发现和直接比较备选地点。同样,蜜蜂侦察员停止为某个给定地点跳舞,这使得其他侦察员有更多时间去寻找潜在的更好地点。因此,蚂蚁和蜜蜂在其决策系统中都设置了时间延迟,这应该有助于在对优质筑巢地点进行全面调查和相对快速做出决策之间达成妥协。我们还能够证明,经典数学模型可以阐明群体能够做出相对迅速且信息充分的决策的过程。