At the intersection of what I call uncomputable art and computational epistemology, a form of experimental philosophy, we find an exciting and promising area of science related to causation with an alternative, possibly best possible, solution to the challenge of the inverse problem. That is the problem of finding the possible causes, mechanistic origins, first principles, and generative models of a piece of data from a physical phenomenon. Here we explain how generating and exploring software space following the framework of Algorithmic Information Dynamics, it is possible to find small models and learn to navigate a sci-fi-looking space that can advance the field of scientific discovery with complementary tools to offer an opportunity to advance science itself.

中文翻译：

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可计算的不可计算艺术，其扩展可以解释软件空间中的宇宙

在我称之为不可计算艺术和计算认识论（一种实验哲学形式）的交叉点上，我们发现了一个与因果关系相关的令人兴奋和有前途的科学领域，并提供了一种替代的、可能是最好的解决方案来解决逆问题的挑战。那就是从物理现象中找出一条数据的可能原因、机械起源、第一原理和生成模型的问题。在这里，我们解释如何按照算法信息动力学的框架生成和探索软件空间，可以找到小模型并学习导航一个科幻风格的空间，该空间可以通过补充工具推进科学发现领域提供机会推进科学本身。