Collaborative Research: Modeling the Social Actor

合作研究：社会行动者建模

• 批准号: 0452598
• 负责人: Kathleen Carley
• 金额: --
• 依托单位: University of Hawaii
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-04-15 至 2007-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0452598&HistoricalAwards=false
• 关键词: Collaborative; Research; Modeling; Social; Actor

This research is based on a comprehensive multi-scaled, multi-disciplinary approach to study complex information age issues that involve the combination of people and the information and communication technologies they use. This study extends work on social actors, developed through prior NSF-funded research. The social actor is an empirically derived model of people+ information and communication technologies (ICTs). To make this model useable for a wider community of researchers and policy- makers, who need robust models with solid measures of attributes and behaviors that conflate people and their technologies, some formalization of the social actor is required. Using metrics derived from institutional theory, appropriate measures based on social actor concepts will be developed and related to formal models and theories of cognitive understanding and collaborative decision making to establish a better basis for reasoning about ICT-infused environments. A theoretically supported, empirically grounded, social actor model will then be used to simulate dynamic agents, with scenarios developed in collaboration with RAND organization researchers. The empirical work will involve modeling social actors as people + IC in organizational and institutional settings using agent-based systems (ABS). Agent-based modeling allows a researcher to examine complex adaptive systems with sophisticated computational models that integrate empirical research and formal modeling. These systems help researchers and policy-makers explore the dynamic issues that attend the complex interactions of collaborative and competitive social units.

这项研究是基于一种综合的、多尺度的、多学科的方法来研究复杂的信息时代问题，这些问题涉及人与他们使用的信息和通信技术的结合。这项研究扩展了之前由美国国家科学基金会资助的研究中关于社会行为者的工作。社会参与者是人+信息和通信技术(ICT)的经验式派生模型。为了使这个模型可用于更广泛的研究人员和政策制定者社区，他们需要强大的模型，具有可靠的属性和行为衡量标准，将人与他们的技术结合在一起，需要对社会参与者进行一些规范化。使用源自制度理论的衡量标准，将制定基于社会行为者概念的适当措施，并将其与认知理解和协作决策的正式模型和理论联系起来，以建立更好的基础，以对信息和通信技术注入的环境进行推理。然后，将使用一个理论支持的、有经验基础的社会行为者模型来模拟动态代理，并与兰德组织研究人员合作开发场景。实证工作将涉及使用基于代理的系统(ABS)在组织和机构环境中将社会行为者建模为人+IC。基于智能体的建模允许研究人员使用集成了经验研究和形式建模的复杂计算模型来检查复杂的自适应系统。这些系统帮助研究人员和政策制定者探索参与协作和竞争社会单位复杂互动的动态问题。