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首页> 外文期刊>Journal of ambient intelligence and humanized computing >TrustSets: using trust to detect deceitful agents in a distributed information collecting system
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TrustSets: using trust to detect deceitful agents in a distributed information collecting system

机译：信任集：使用信任来检测分布式信息收集系统中的欺骗性代理

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摘要

This paper addresses the issue of maintaining information coherence and its robustness in a multi-agent system, that collectively gathers information from distributed sources and where some sources may be defective (deliberately or not). In this context, the collective information gathered by the system is a progressive (non linear) aggregation of information collected individually by each agent. Therefore, each agent has direct information (collected by itself) and indirect information (obtained through communication with other agents). System coherence is defined by compatibility of collected information about the explored environment with actual information of the environment. System resilience is defined by the capability to maintain information coherence, despite the existence and increase of faulty agents within the system. In this context, we propose a new trust-based mechanism to detect defective agents and limit the dissemination of deceitful information in the system, thus reducing its impact on the process of collective information gathering.
机译：本文讨论了在多主体系统中维护信息一致性及其鲁棒性的问题，该系统从分布式来源中集体收集信息，并且其中某些来源可能存在缺陷（有意或无意）。在这种情况下，系统收集的集体信息是每个代理单独收集的信息的渐进（非线性）聚合。因此，每个代理都有直接信息（由自身收集）和间接信息（通过与其他代理进行通信获得）。系统一致性是通过收集有关探索环境的信息与环境的实际信息的兼容性来定义的。尽管系统中存在故障代理并且数量不断增加，但系统的弹性是由保持信息一致性的能力定义的。在这种情况下，我们提出了一种基于信任的新机制来检测缺陷代理并限制系统中欺骗性信息的传播，从而减少其对集体信息收集过程的影响。

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