基于蚁群算法的协同科研模型
A model for cooperative scientific research inspired by the ant colony algorithm
摘要：
在互联网时代，现代科学研究在很大程度上已成为一种合作活动。我们建立了一个仿真模型，了解基于启发式蚁群算法的人口水平的创造力。每个研究者都有两个启发式参数来表征他自己的判断的好坏和他对文学的信任。在一个人口与各种研究人员，我们发现，随着问题规模的增加，贡献者分布显着转移，从独立的制度，依靠自己的判断，更密切地遵循文献的合作制度。分布也随着研究问题的阶段和可用的计算能力而变化。本文的工作为各学科合作科学研究的动态过程提供了初步的认识和指导。
英文摘要：
Modern scientific research has become largely a cooperative activity in the Internet age. We build a simulation model to understand the population-level creativity based on the heuristic ant colony algorithm. Each researcher has two heuristic parameters characterizing the goodness of his own judgments and his trust on literature. In a population with all kinds of researchers, we find that as the problem scale increases, the contributor distribution significantly shifts from the independent regime of relying on one's own judgments to the cooperative regime of more closely following the literature. The distribution also changes with the stage of the research problem and the computing power available. Our work provides some preliminary understanding and guidance for the dynamical process of cooperative scientific research in various disciplines.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
