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.

中文翻译：

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科学中跨学科交互的基于代理的模型

科学项目中增加的跨学科性已被强调为应对复杂的现实世界挑战至关重要，但也有利于学科本身的发展。本文在知识发现的集体企业中引入了基于跨学科关系的简单代理模型，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。在个人研究人员项目管理的简单规则假设下，例如在投入的时间开销和知识收益之间进行权衡，模型模拟表明，个人选择会影响非线性中新兴学科深度和跨学科之间折衷点的分布。办法。协作网络的不同结构也可能在全球跨学科方面产生不同的结果。我们得出的结论是，独立于研究领域，研究的组织，尤其是纵向和横向研究之间的局部平衡，已经影响到研究成果的最终定位和知识前沿的范围。这表明直接应用到研究政策上，自下而上地利用学科之间的相互作用。