Adaptive forgetting by emergent knowledge structures in socio-technical systems
Adaptive forgetting by emergent knowledge structures in socio-technical systems
批准号:
318341635
负责人:
Professor Dr. Conny Herbert Antoni
金额:
$0.0万
依托单位国家:
德国
项目类别:
Priority Programmes
财政年份:
2016
资助国家:
德国
项目状态:
已结题
起止时间:
2015-12-31 至 2022-12-31
中文摘要
在SPP 1921的第一个资助阶段,工作、组织和商业心理学以及商业信息学之间的跨学科串联,将故意遗忘作为个人和系统(例如团队)信息处理能力的延伸进行了调查。这种能力的扩大是团队成员之间通过专业化重组与任务有关的知识的结果。此外,对这种重组进行了形式化描述,并成功应用于智能智能体仿真模型中。基于心理团队研究的记忆模型(所谓的团队认知),在组织层面上开发了有效处理越来越多的信息的跨学科方法。在第二个筹资阶段,这一方法将转移到社会行为者和数字代理商的混合系统。根据DFG SPP 1921的第4和第5栏,将支持行政和制造业的项目合作伙伴通过重新组织社会数字系统中的知识分配,使故意遗忘成为可规划和可设计的。在现有跨学科遗忘模型的理论和经验基础上,与项目伙伴共同开发了衡量(状态分析)和正式确定社会数字任务分担的工具。因此,可以测量故意遗忘的机制,以便可以报告个人和系统的行为以及反应(目标1)。其次,将开发社会数字任务共享的具体设计方法,并在跨学科模拟和实验平台上进行测试。在各种假设的基础上,研究了设计方法对有意遗忘、系统行为和个体反应的影响,以及它们与主持人的交互作用(目标2)。第三,在战术和战略层面上,面向应用的设计和开发措施应有助于在社会数字团队中规划故意遗忘。在状态分析和假设驱动的社会模拟研究的基础上,这些措施使用户能够启动社会数字系统的参与性重组,并得出个人发展的关键个人特征(目标3)。在三个多方法的工作包中,这些项目目标被调查。此外,它们还得到了最高人民大会党内部交叉串联合作的补充。将发现、方法和解决方案转移到应用程序环境中可用于有计划地忘记知识。同时,研究结果有助于改善个人工作条件和优化社会数字系统的性能。
英文摘要
In the first funding phase of the SPP 1921, the interdisciplinary tandem between work, organizational and business psychology, as well as business informatics, investigated intentional forgetting as an extension of individual and system (e.g. team) information processing capacity. This expansion of capacities results from a reorganization of task-related knowledge between team members, by means of specialization. In addition, such reorganization was formally represented and successfully applied in intelligent agent simulation models. Based on memory models of psychological team research (so-called team cognitions), interdisciplinary approaches for efficiently handling increasing amounts of information were developed on an organizational level. In the second funding phase, this approach will be transferred to mixed systems of social actors and digital agents. In line with fields 4 and 5 of the DFG SPP 1921, project partners from administration and manufacturing will be supported in making intentional forgetting plannable and designable by reorganizing the distribution of knowledge in socio-digital systems. On the theoretical and empirical basis of the existing interdisciplinary forgetting model, instruments for measuring (state analysis) and formalizing socio-digital task sharing are developed with the project partners. As a result, mechanisms of intentional forgetting can be measured such that individual and system behavior, as well as reactions, can be reported (goal 1). Secondly, specific design approaches for socio-digital task sharing will be developed and tested in an interdisciplinary simulation and experiment platform. Based on various hypotheses, effects of design approaches to intentional forgetting, system behavior, and individual reactions are studied in their interaction with moderators (goal 2). Thirdly, on a tactical and strategic level, application-oriented design and development measures should contribute to the planning of intentional forgetting in socio-digital teams. Based on the state analysis and hypothesis-driven social simulation studies, these measures allow users to initiate a participative reorganization of the socio-digital system and to derive critical personal characteristics for personnel development (goal 3). In three multimethodological work packages, these project goals are investigated. Further, they are complemented by cross-tandem cooperation within the SPP. The transfer of findings, methods, and solutions into the application contexts can be used for planned forgetting of knowledge. At the same time, the findings contribute to the improvement of individual working conditions and performance optimization in socio-digital systems.
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