Community annotation and the evolution of cooperation: How patience matters

Q3 Computer Science
A. Basuchoudhary, Vahan Simoyan, R. Mazumder
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引用次数: 2

Abstract

We investigate why biologists fail to contribute to biological databases although almost all of them use these databases for research. We find, using evolutionary game theory and computer simulations, that (a) the initial distribution of contributors who are patient determines whether a culture of contribution will prevail or not (b) institutions (where institution means "a significant practice, relationship, or organization in a society or culture") that incentivize patience and therefore limit free riding make contribution more likely and, (c) a stable institution, whether it incentivizes patience or not, will increase contribution. As a result we suggest there is a trade-off between the benefits of changing institutions to incentivize patience and the costs of the change itself. Moreover, even if it is possible to create institutions that incentivize patience among scientists such institutions may nevertheless fail. We create a computer simulation of a population of biologists based on our theory. These simulations suggest that institutions should focus more on rewards rather than penalties to incentivize a culture of contribution. Our approach therefore provides a methodology for developing a practical blueprint for organizing scientists to encourage cooperation and maximizing scientific output.
社区注释与合作的演变:耐心的重要性
我们调查了为什么生物学家不能为生物数据库做出贡献,尽管他们几乎所有人都使用这些数据库进行研究。我们发现,利用进化博弈论和计算机模拟,(a)有耐心的贡献者的初始分布决定了一种贡献文化是否会盛行;(b)激励耐心并因此限制搭便车的制度(制度指的是“社会或文化中的重要实践、关系或组织”)更有可能做出贡献;(c)一个稳定的制度,无论它是否激励耐心。将增加贡献。因此,我们认为,在改变制度以激励耐心的好处与改变本身的成本之间存在权衡。此外,即使有可能建立激励科学家耐心的制度,这些制度也可能失败。我们根据我们的理论创建了一个生物学家群体的计算机模拟。这些模拟表明,机构应该更多地关注奖励,而不是惩罚,以激励贡献文化。因此,我们的方法提供了一种方法,可以为组织科学家鼓励合作和最大化科学产出制定实用蓝图。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Open Bioinformatics Journal
Open Bioinformatics Journal Computer Science-Computer Science (miscellaneous)
CiteScore
2.40
自引率
0.00%
发文量
4
期刊介绍: The Open Bioinformatics Journal is an Open Access online journal, which publishes research articles, reviews/mini-reviews, letters, clinical trial studies and guest edited single topic issues in all areas of bioinformatics and computational biology. The coverage includes biomedicine, focusing on large data acquisition, analysis and curation, computational and statistical methods for the modeling and analysis of biological data, and descriptions of new algorithms and databases. The Open Bioinformatics Journal, a peer reviewed journal, is an important and reliable source of current information on the developments in the field. The emphasis will be on publishing quality articles rapidly and freely available worldwide.
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