Several philosophical issues in connection with computer simulations rely on the assumption that results of simulations are trustworthy. Examples of these include the debate on the experimental role of computer simulations (Parker in Synthese 169(3):483–496, 2009; Morrison in Philos Stud 143(1):33–57, 2009), the nature of computer data (Barberousse and Vorms, in: Durán, Arnold (eds) Computer simulations and the changing face of scientific experimentation, Cambridge Scholars Publishing, Barcelona, 2013; Humphreys, in: Durán, Arnold (eds) Computer simulations and the changing face of scientific experimentation, Cambridge Scholars Publishing, Barcelona, 2013), and the explanatory power of computer simulations (Krohs in Int Stud Philos Sci 22(3):277–292, 2008; Durán in Int Stud Philos Sci 31(1):27–45, 2017). The aim of this article is to show that these authors are right in assuming that results of computer simulations are to be trusted when computer simulations are reliable processes. After a short reconstruction of the problem of epistemic opacity, the article elaborates extensively on computational reliabilism, a specified form of process reliabilism with computer simulations located at the center. The article ends with a discussion of four sources for computational reliabilism, namely, verification and validation, robustness analysis for computer simulations, a history of (un)successful implementations, and the role of expert knowledge in simulations.

中文翻译：

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信任的基础：基本认知不透明性和计算可靠性

与计算机模拟相关的几个哲学问题依赖于模拟结果值得信赖的假设。其中的例子包括关于计算机模拟的实验作用的辩论（Parker in Synthese 169(3):483–496, 2009; Morrison in Philos Stud 143(1):33–57, 2009）、计算机数据的性质（ Barberousse 和 Vorms，在：Durán, Arnold (eds) Computer simulations and the change face of science Experiment，Cambridge Scholars Publishing，巴塞罗那，2013 年；Humphreys，在：Durán，Arnold (eds) 计算机模拟和科学实验的变化面， Cambridge Scholars Publishing，巴塞罗那，2013 年），以及计算机模拟的解释力（Krohs in Int Stud Philos Sci 22(3):277–292, 2008; Durán int Stud Philos Sci 31(1):27–45, 2017 ）。这篇文章的目的是表明这些作者正确地假设，当计算机模拟是可靠的过程时，计算机模拟的结果是可信的。在对认知不透明问题进行了简短的重构之后，本文广泛阐述了计算可靠性，这是一种以计算机模拟为中心的过程可靠性的特定形式。本文最后讨论了计算可靠性的四个来源，即验证和验证、计算机模拟的稳健性分析、（不）成功实施的历史以及专家知识在模拟中的作用。在对认知不透明问题进行了简短的重构之后，本文广泛阐述了计算可靠性，这是一种以计算机模拟为中心的过程可靠性的特定形式。本文最后讨论了计算可靠性的四个来源，即验证和验证、计算机模拟的稳健性分析、（不）成功实施的历史以及专家知识在模拟中的作用。在对认知不透明问题进行了简短的重构之后，本文广泛阐述了计算可靠性，这是一种以计算机模拟为中心的过程可靠性的特定形式。本文最后讨论了计算可靠性的四个来源，即验证和验证、计算机模拟的稳健性分析、（不）成功实施的历史以及专家知识在模拟中的作用。