论文标题
基于代理的科学跨学科互动模型
An agent-based model of interdisciplinary interactions in science
论文作者
论文摘要
在科学项目中,跨学科的跨学科性越来越大,这对于应对复杂的现实世界挑战至关重要,但也对学科本身的发展也有益。本文介绍了基于临时的代理人在知识发现集体企业中的跨学科关系的模型,以研究科学家级别的决策和偏好对全球跨学科模式的影响。在假设单个研究人员项目管理的简单规则的假设下,例如投资时间开销和知识收益之间的权衡,模型模拟表明,单个选择会影响以非线性方式在纪律深度和跨学科性水平之间折衷点的分布。合作网络的不同结构也可能在全球跨学科性方面产生各种结果。我们得出的结论是,独立于研究领域,研究的组织,尤其是垂直和水平研究之间的局部平衡,已经影响了研究结果的最终定位和知识方面的程度。这表明对研究政策的直接应用具有对学科之间相互作用的自下而上的杠杆作用。
An increased interdisciplinarity in science projects has been highlighted as crucial to tackle complex real-world challenges, but also as beneficial for the development of disciplines themselves. This paper introduces a parcimonious agent-based model of interdisciplinary relationships in collective entreprises of knowledge discovery, to investigate the impact of scientist-level decisions and preferences on global interdisciplinarity patterns. Under the assumption of simple rules for individual researcher project management, such as trade-offs between invested time overhead and knowledge benefit, model simulations show that individual choices influence the distribution of compromise points between emergent level of disciplinary depth and interdisciplinarity in a non-linear way. Different structures for collaboration networks may also yield various outcomes in terms of global interdisciplinarity. We conclude that independently of the research field, the organization of research, and more particularly the local balancing between vertical and horizontal research, already influences the final positioning of research results and the extent of the knowledge front. This suggests direct applications to research policies with a bottom-up leverage on the interactions between disciplines.