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arXiv 1507.00477physics.soc-phcs.SI
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计算社会科学中的机制模型

Mechanistic Models in Computational Social Science

Petter Holme, Fredrik Liljeros

摘要:

定量社会科学不仅仅是回归分析或一般的数据推断。社会机制的计算机模拟已有60年的历史。它们已被用于许多不同的目的-测试方案,测试描述性理论(概念验证模型)的一致性,探索新兴现象,预测等,在这篇文章中,我们勾勒出这些历史发展,机械模型在社会科学中的作用,以及自然科学和形式科学的影响。我们认为,机械计算模型形成了社会科学和自然科学的共同基础,并期待着未来可能的信息流跨越社会-自然鸿沟。

英文摘要:

Quantitative social science is not only about regression analysis or, in general, data inference. Computer simulations of social mechanisms have a 60-year long history. They have been used for many different purposes -- to test scenarios, test the consistency of descriptive theories (proof-of-concept models), explore emergent phenomena, forecast, etc. In this essay, we sketch these historical developments, the role of mechanistic models in the social sciences, and the influences from the natural and formal sciences. We argue that mechanistic computational models form a common ground for social and natural sciences and look forward to possible future information flow across the social-natural divide.

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。

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