The notion of socially enabled Internet of Things (IoT) termed as Social IoT, emphasized on social interactions among smart objects in an IoT network. Moreover, the concept of speaking and hearing objects further advanced the level of interactions occurring among the IoT devices by empowering them with conversational abilities. Researchers are constantly working to practically realize this vision, keeping in mind the potential benefits of the integration of technologies like argumentation, logical reasoning and artificial intelligence into IoT. Moving along the same lines, this paper investigates the emerging concept of speaking objects and proposes novel reference architecture for argumentation enabled Social IoT systems. The proposed framework lays out a theoretical foundation for development of future applications in the said domain. Further, to overcome the challenges of conflict resolution in argumentation-based decision making, a game theoretic weighted voting scheme is deployed. To ascertain the validity the proposed model, a smart home assisted living use-case scenario is simulated in MATLAB. The simulations are conducted for both weighted and non-weighted voting schemes in a 4-player cooperative game and their performance is evaluated. Experimental results revealed that the proposed scheme outperforms the existing non-weighted voting schemes in terms of throughput which is improved by 35% for quota, q = 0.5. For higher quota values, a minimum improvement of at least 15% is observed. Therefore, the proposed approach confirms to be an effective scheme for decision making in argumentation enabled Social IoT systems.

具有社交功能的物联网（IoT）的概念称为“社交物联网”，强调物联网网络中智能对象之间的社交互动。此外，说话和听觉对象的概念通过赋予物联网设备对话能力，进一步提高了物联网设备之间发生的交互水平。研究人员一直在努力实现这一愿景，同时牢记将论点，逻辑推理和人工智能等技术集成到物联网中的潜在好处。按照同样的思路，本文研究了语音对象的新兴概念，并提出了支持论证的社交物联网系统的新型参考架构。拟议的框架为该领域未来应用的开发奠定了理论基础。进一步，为了克服基于辩论的决策中解决冲突的挑战，采用了博弈论加权投票方案。为了确定所提出模型的有效性，在MATLAB中模拟了智能家居辅助生活用例场景。在4人合作游戏中针对加权投票方案和非加权投票方案进行了仿真，并对它们的性能进行了评估。实验结果表明，该方案在吞吐量方面优于现有的非加权投票方案，对于配额q = 0.5，提高了35％。对于更高的配额值，观察到至少有15％的最小改进。因此，所提出的方法肯定是在支持论证的社交物联网系统中进行决策的有效方案。