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20092106form

20092106form

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So in this lecture we will see how we can take advantage of the power of our causal interventionist calculus based on algorithmic information dynamics not only to describe and study objects and find out causes but steer and manipulate systems. Because we are using computable models and algorithmic techniques, we call this type of manipulation ‘reprogramming a system’.​ One of the greatest challenges in science is that we are always in disadvantage as observers, we can only have a partial view at a single scale and away from isolation. For this reason we always have to deal with what we call noise and with partial representations. Representations come in all flavours in science, we often like to model phenomena with systems such as differential equations but sometimes also as networks and discrete systems. In fact, for almost any representation one can come up with a set of equivalent representations fully describing the same systems but allowing us to see different features of th

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