伦理信任与社会道德规范模拟:一种生物启发的基于主体的建模方法

Hock Chuan Lim, Rob Stocker, Henry Larkin
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引用次数: 4

摘要

认识微观与宏观的联系是社会系统研究的迫切需要。社会系统的复杂适应性增加了理解社会互动和系统反馈的挑战,并为扩展基于计算机的研究工具(如模拟和基于代理的技术)的前沿提供了巨大的范围和潜力。在这个项目中,我们试图理解关于个人层面的道德信任和集体社会道德规范发展的相互作用的关键研究问题,作为社会系统更大的微观-宏观联系的代表性样本。我们根据信任、机器伦理和神经科学的研究成果,概述了我们的伦理信任计算模型(CMET)。在CMET架构的指导下,我们讨论了伦理信任和社会道德规范模拟的关键实现思路。
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Ethical Trust and Social Moral Norms Simulation: A Bio-inspired Agent-Based Modelling Approach
The understanding of the micro-macro link is an urgent need in the study of social systems. The complex adaptive nature of social systems adds to the challenges of understanding social interactions and system feedback and presents substantial scope and potential for extending the frontiers of computer-based research tools such as simulations and agent-based technologies. In this project, we seek to understand key research questions concerning the interplay of ethical trust at the individual level and the development of collective social moral norms as representative sample of the bigger micro-macro link of social systems. We outline our computational model of ethical trust (CMET) informed by research findings from trust, machine ethics and neural science. Guided by the CMET architecture, we discuss key implementation ideas for the simulations of ethical trust and social moral norms.
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