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MODELING TRUST IN SELF-ORGANIZING SYSTEMS WITH HETEROGENEITY

机译:具有异质性的自组织系统中的信任模型

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Self-organizing systems (SOS) possess the potential of performing complex tasks in uncertain situations with adaptability. Despite the benefits of self-organizing, it is also subject to the influence of unpredictable behavior of individual agents and environment noises. In hostile situations for example, individual performance of self-organizing agents may deteriorate and this can lead to system malfunction, posing great challenge for the design of SOS. In this paper, we propose a trust based model as a design approach to SOS in consideration of the capability heterogeneity of the agents. A box-pushing task was presented and studied. Trust is measured using beta probability distribution, which takes into account both the positive and negative interactions between the agents. The simulation results have shown that our trust model ensures favorable interactions among agents and leads to increased system effectiveness and conditional system efficiency improvement in comparison to SOS without using a trust model.
机译:自组织系统(SOS)具有在不确定的情况下以适应性能力执行复杂任务的潜力。尽管自组织有很多好处,但它也会受到单个代理的不可预测行为和环境噪声的影响。例如,在敌对情况下,自组织代理的个人性能可能会下降,并且可能导致系统故障,这对SOS的设计提出了巨大挑战。在本文中,考虑到代理的能力异质性,我们提出了一种基于信任的模型作为SOS的设计方法。提出并研究了一项推箱子的任务。信任度是使用β概率分布来衡量的,它考虑了代理之间的正向和负向交互作用。仿真结果表明,与不使用信任模型的SOS相比,我们的信任模型可确保代理之间的良好交互,并导致提高系统有效性和有条件的系统效率。

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