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Norms trust evaluation for norm adoption in open normative multi-agent systems

机译:在开放式规范多主体系统中采用规范的信任评估

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Norms are dynamic entities that exist in open multi-agent systems to control agents' behavior. For norms to be effective in a domain, agents must first detect the norms' existence. Recent works in this area have proposed mechanisms to endow agents with a norm detection capability. However, existing works in norms detection entail agents to consider only one norm in a particular event. In reality, one event may have more than one set of norms existing in a domain. In a more recent study, a norm detection mechanism reports that more than one norm can co-exist in a society. Thus, we argue that the existing approaches do not help agents to decide which norms to adopt in cases of multiple norms. To solve this problem, we propose the concept of norms trust to help agents to decide which detected norms are trustable from a set of norms that exist in an environment. The proposed trust-based norms evaluation consists of two-tier assessment; a credible agent evaluation that involves the task of evaluating the neighboring agents' trust and a norms trust evaluation which is the aggregation of norm adoption ratio, norm adoption risk, and norms salience. The evaluation framework is then reinforced with a working scenario to illustrate the process.
机译:规范是存在于开放式多代理系统中的动态实体,用于控制代理的行为。为了使规范在某个领域中有效,代理必须首先检测规范的存在。在该领域的最新工作已经提出了使代理具有规范检测能力的机制。但是,规范检测中的现有工作需要代理在特定事件中仅考虑一个规范。实际上,一个事件在一个域中可能有不止一组准则。在最近的一项研究中,一种规范检测机制报告说,一个社会可以共存多个规范。因此,我们认为,现有的方法并不能帮助代理人确定在多个规范的情况下采用哪种规范。为了解决此问题,我们提出了规范信任的概念,以帮助代理从环境中存在的一组规范中确定哪些检测到的规范是可信任的。拟议的基于信任的规范评估包括两层评估;可信的代理评估,涉及评估邻居代理的信任度和规范信任评估,即规范采用率,规范采用风险和规范显着性的总和。然后,通过一个工作场景来增强评估框架,以说明该过程。

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