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Modeling Epistemology: Examples and Analysis in Computational Philosophy of Science

机译:认识论建模:计算科学哲学的例子与分析

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What structure of scientific communication and cooperation, between what kinds of investigators, is best positioned to lead us to the truth? Against an outline of standard philosophical characteristics and a recent turn to social epistemology, this paper surveys highlights within two strands of computational philosophy of science that attempt to work toward an answer to this question. Both strands emerge from abstract rational choice theory and the analytic tradition in philosophy of science rather than postmodern sociology of science. The first strand of computational research models the effect of communicative networks within groups, with conclusions regarding the potential benefit of limited communication. The second strand models the potential benefits of cognitive diversity within groups. Examples from each strand of research are used in analyzing what makes modeling of this sort both promising and distinctly philosophical, but are also used to emphasize possibilities for failure and inherent limitations as well.
机译:什么样的研究人员之间的科学交流与合作结构最适合引导我们了解事实?针对标准哲学特征的概述和近来对社会认识论的关注,本文调查了试图寻求对这个问题的解答的两大类计算科学哲学中的亮点。两条线都来自抽象的理性选择理论和科学哲学的分析传统,而不是后现代科学社会学。计算研究的第一阶段模拟了群体内部通信网络的效果,并得出了有关有限通信的潜在利益的结论。第二链模拟了群体内认知多样性的潜在利益。每个研究领域的例子都用于分析是什么使这种建模既有希望又具有明显的哲学意义,但也用于强调失败的可能性和固有的局限性。

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