The organization of societal conflicts by pavement ants Tetramorium caespitum： an agent-based model of amine-mediated decision making  

作　　者：Kevin M. HOOVER Andrew N. BUBAK Isaac J. LAW Jazmine D. W. YAEGER Kenneth J. RENNER John G. SWALLOW Michael J. GREENE 

机构地区：[1]Department of Integrative Biology, University of Colorado Denver, Denver, CO 80217-3364, USA [2]Neuroscience Program, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA [3]Department of Biology,University of South Dakota, Vermillion, South Dakota 57069, USA

出　　处：《Current Zoology》2016年第3期277-284,共8页动物学报（英文版）

摘　　要：Ant colonies self-organize to solve complex problems despite the simplicity of an individual ant＇s brain. Pavement ant Tetramorium caespitum colonies must solve the problem of defending the ter- ritory that they patrol in search of energetically rich forage. When members of 2 colonies randomly interact at the territory boundary a decision to fight occurs when： 1） there is a mismatch in nest- mate recognition cues and 2） each ant has a recent history of high interaction rates with nestmate ants. Instead of fighting, some ants will decide to recruit more workers from the nest to the fighting location, and in this way a positive feedback mediates the development of colony wide wars. In ants, the monoamines serotonin （5-HT） and octopamine （OA） modulate many behaviors associated with colony organization and in particular behaviors associated with nestmate recognition and ag- gression. In this article, we develop and explore an agent-based model that conceptualizes how in- dividual changes in brain concentrations of 5-HT and OA, paired with a simple threshold-based de- cision rule, can lead to the development of colony wide warfare. Model simulations do lead to the development of warfare with 91% of ants fighting at the end of 1 h. When conducting a sensitivity analysis, we determined that uncertainty in monoamine concentration signal decay influences the behavior of the model more than uncertainty in the decision-making rule or density. We conclude that pavement ant behavior is consistent with the detection of interaction rate through a single timed interval rather than integration of multiple interactions.

关 键 词：agent-based model aggressive behavior ants decision making MONOAMINES OCTOPAMINE serotonin. 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] Q42[自动化与计算机技术—控制科学与工程]