Socio-technical networks represent emerging cyber-physical infrastructures that are tightly interwoven with human networks. The coupling between human and technical networks presents significant challenges in managing, controlling, and securing these complex, interdependent systems. This paper investigates game-theoretic frameworks for the design and control of socio-technical networks, with a focus on critical applications such as misinformation management, infrastructure optimization, and resilience in socio-cyber-physical systems (SCPS). Core methodologies, including Stackelberg games, mechanism design, and dynamic game theory, are examined as powerful tools for modeling interactions in hierarchical, multi-agent environments. Key challenges addressed include mitigating human-driven vulnerabilities, managing large-scale system dynamics, and countering adversarial threats. By bridging individual agent behaviors with overarching system goals, this work illustrates how the integration of game theory and control theory can lead to robust, resilient, and adaptive socio-technical networks. This paper highlights the potential of these frameworks to dynamically align decentralized agent actions with system-wide objectives of stability, security, and efficiency.

翻译：社会技术网络代表了与人类网络紧密交织的新兴信息物理基础设施。人类网络与技术网络之间的耦合给这些复杂、相互依存的系统的管理、控制和安全保障带来了重大挑战。本文研究了用于社会技术网络设计与控制的博弈论框架，重点关注错误信息管理、基础设施优化和社会信息物理系统（SCPS）韧性等关键应用。核心方法论，包括Stackelberg博弈、机制设计和动态博弈论，被作为在分层多智能体环境中建模交互的强大工具进行探讨。所应对的关键挑战包括缓解人为驱动的脆弱性、管理大规模系统动态以及对抗敌对威胁。通过将个体智能体行为与总体系统目标相衔接，本工作阐明了博弈论与控制理论的融合如何能够构建出鲁棒、韧性和自适应的社会技术网络。本文强调了这些框架在动态协调分散的智能体行动与系统层面的稳定性、安全性和效率目标方面的潜力。