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A simple game for the study of trust in distributed systems

机译:一个研究分布式系统中信任的简单游戏

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摘要

Trust is an important aspect of the design and analysis of secure distributed systems. It is often used informaUy to designate those portions of a system that must function correctly in order to achieve the desired outcome. But it is a notoriously diffcult notion to formalize. What are the properties of trust? How is it learned, propagated, and utilized successfully? How can it be modeled? How can a trust model be used to derive protocols that are effcient and reliable when employed in today's expansive networks? Past work has been concerned with only a few of these issues, without concentrating on the need for a comprehensive approach to trust modeling. In this paper, we take a first step in that direction by studying an artificial community of agents that uses a notion of trust to succeed in a game against nature. The model is simple enough to analyze and simulate, but also rich enough to exhibit phenomena of real-life interactive communities. The model requires agents to make decisions. To dowell, the agents are informed by knowledge gained from their own past experience as well as from the experience of other agents. Communication among agents allows knowledge to propagate faster through the network, which in turn can allow for a more successful community. We analyze the model from both a theoretical and an experimental point of view.
机译:信任是安全分布式系统设计和分析的重要方面。通常使用它来指定系统中必须正确运行以实现所需结果的那些部分。但这是一个臭名昭著的难以形式化的概念。信任的性质是什么?如何成功地学习,传播和利用它?如何建模?在当今的扩展网络中使用信任模型时,如何使用它来生成有效且可靠的协议?过去的工作仅关注其中的一些问题,而没有将重点放在对信任建模的综合方法的需求上。在本文中,我们朝着这个方向迈出了第一步,研究了一个人造的代理人社区,该社区使用信任的概念在与自然的博弈中取得成功。该模型足够简单,可以进行分析和仿真,但也足够丰富,可以展现现实生活中的交互社区现象。该模型要求代理商做出决定。为了做到这一点,代理商要从自己过去的经验以及其他代理商的经验中学到知识。代理之间的通信使知识可以通过网络更快地传播,从而可以使社区更加成功。我们从理论和实验的角度分析模型。

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