The paper begins by exploring the rationality of ethical trust as a foundational concept. This involves distinguishing between trust and trustworthiness and delving into scenarios where trust is both rational and moral. It lays the groundwork for understanding the complexities of trust dynamics in decision-making scenarios. Following this theoretical groundwork, we introduce an agent-based simulation framework that investigates these dynamics of ethical trust, specifically in the context of a disaster response scenario. These agents, utilizing emotional models like Plutchik's Wheel of Emotions and memory learning mechanisms, are tasked with allocating limited resources in disaster-affected areas. The model, which embodies the principles discussed in the first section, integrates cognitive load management, Big Five personality traits, and structured interactions within networked or hierarchical settings. It also includes feedback loops and simulates external events to evaluate their impact on the formation and evolution of trust among agents. Through our simulations, we demonstrate the intricate interplay of cognitive, emotional, and social factors in ethical decision-making. These insights shed light on the behaviors and resilience of trust networks in crisis situations, emphasizing the role of rational and moral considerations in the development of trust among autonomous agents. This study contributes to the field by offering an understanding of trust dynamics in socio-technical systems and by providing a robust, adaptable framework capable of addressing ethical dilemmas in disaster response and beyond. The implementation of the algorithms presented in this paper is available at this GitHub repository: \url{https://github.com/abbas-tari/ethical-trust-cognitive-modeling}.

翻译：本文首先探讨作为基础概念的伦理信任的合理性，区分信任与可信赖性，并深入分析信任兼具理性与道德属性的场景，为理解决策场景中信任动态的复杂性奠定理论基础。在此理论基础上，我们提出一个基于智能体的仿真框架，专门研究灾害响应场景中伦理信任的动态机制。这些智能体采用普拉奇克情绪轮等情感模型及记忆学习机制，负责在受灾区域分配有限资源。该模型体现了第一部分阐述的原则，整合了认知负荷管理、大五人格特质以及网络化或层级化结构中的结构化交互，同时包含反馈回路并模拟外部事件，以评估其对智能体间信任形成与演变的影响。通过仿真实验，我们揭示了伦理决策中认知、情感与社会因素之间错综复杂的相互作用。这些洞察揭示了危机情境中信任网络的行为与韧性，强调了理性与道德考量在自主智能体间信任发展中的作用。本研究深化了对社会技术系统中信任动态的理解，并提供了一个稳健且可扩展的框架，能够应对灾害响应及其他场景中的伦理困境。本文所提算法的实现代码已发布至GitHub仓库：\url{https://github.com/abbas-tari/ethical-trust-cognitive-modeling}