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Multi-agent Systems for Personalized QoE-Management

机译：个性化QoE管理的多代理系统

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User satisfaction is becoming a key factor to secure the success of any online service. Quality of Experience is a subjective measure of the service quality as perceived by the user. QoE has been introduced to bridge the gap between the purely technical characteristics of QoS and user satisfaction. Recent research on QoE has shown that QoE is highly personal and influenced by multiple interrelated factors including the user expectations, preferences and cultural background. However, most existing QoE management solutions overlook the personal aspect of QoE and ignore inter-user differences despite the promise of adopting a user-centric approach. In this paper, we propose multi-agent technology as means to achieve personalized QoE-management. In particular, we propose a multi-agent architecture called EMan where each end-user is embodied by an autonomous agent that represents her personal preferences and expectations and seeks to maximize her QoE. To evaluate our approach, we use Repast, a multi-agent simulation platform. The preliminary results proves that such a decentralized multi-agent QoE-management outperforms an equivalent centralized approach both in terms of end-user satisfaction and service acceptability.
机译：用户满意度正在成为确保任何在线服务成功的关键因素。体验质量是用户感知到的服务质量的主观度量。已引入QoE来弥合QoS的纯粹技术特征与用户满意度之间的差距。最近对QoE的研究表明，QoE具有很高的个人性，并受多个相互关联的因素的影响，这些因素包括用户的期望，偏好和文化背景。但是，尽管承诺采用以用户为中心的方法，但大多数现有的QoE管理解决方案都忽略了QoE的个人方面，而忽略了用户之间的差异。在本文中，我们提出了多代理技术作为实现个性化QoE管理的手段。特别是，我们提出了一种称为EMan的多代理架构，其中，每个最终用户都由一个自治代理来体现，该代理代表她的个人喜好和期望，并寻求最大程度地提高其QoE。为了评估我们的方法，我们使用了多主体仿真平台Repast。初步结果证明，这样的分散式多代理QoE管理在最终用户满意度和服务可接受性方面均优于等效的集中式方法。

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