中文摘要：

建立公平的社会群体利益分配机制是解决当前由利益失衡引发的社会矛盾与冲突的关键所在．基于对蚁群劳动分工在任务分配中所表现出柔性特征的分析，提出借鉴该任务分配柔性来实现利益分配柔性的新思路．首先从分配的角度对利益的概念进行界定，给出了其形式化描述，引入相对剥夺感来衡量利益分配的公平性．随后根据社会群体利益的特点，对基本蚁群劳动分工模型进行扩展，借助恢复因子来协调不同利益群体，建立了面向利益分配的蚁群劳动分工模型，给出了该模型的算法实现流程．选取一个具有代表性的利益分配实例进行仿真实验，从恢复性和分配柔性两方面验证本文模型的有效性．通过仿真分析发现，利益实现能力在利益分配过程中具有主导作用；对于利益分配不公的情况，恢复因子能够起到有效的恢复作用，且在动态环境下显示出良好的利益分配柔性．最后给出了利益型群体事件演化过程的描述，定量分析了其中的恢复情况，阐述了现实中利益型群体事件的演化规律．

英文摘要：

It is key to establish a fair mechanism of interest allocation to solve the social contradictions and conflicts, which are mainly caused by the imbalances of interests between social groups. Analyzing the flexibil- ity exhibited by ant colony＇ s labor division in task allocation, the paper proposes to achieve interests allocation flexibility by learning from task allocation flexibility. First, the concept of interests is defined from the per- spective of allocation, and the formal description is given, where the relative deprivation is introduced to meas- ure the fairness of interests allocation. Second, the basic ant colony＇ s labor division model is extended accord- ing to the characteristics of social groups＇ interests, using the recovery factor to coordinate different social groups, then the ant colony＇ s labor division model for interest allocation is built, and its algorithm implemen- tation process is presented. Third, simulation experiments are performed on a representative example of inter- ests allocation, and the validity of the proposed model is verified from two aspects ： The recovery and allocation flexibility. The simulation results show that the capability to realize interests plays a leading role in the interest allocation process; in the case of unfair allocation of interests, the recovery factor is effective for the recovery and shows allocation flexibility in dynamic environments. Finally, the evolutionary process of the interests- based group event is described, where the recovery is quantitatively analyzed and the evolution law of the in- terests-based group event in reality is expounded.