This paper explores the problem of the goal of understanding, proposing that understanding may be linked to prediction. The approach taken is functional and evolutionary, and it integrates an epistemological perspective with the insights of the predictive processing models of cognition. I first consider the possible goals of understanding, taking as few epistemological assumptions as possible. I take into account the notions of ends in themselves and of explanations, and I distinguish between internally-oriented goals and externally-oriented goals. Then I present how prediction might be connected with the goal of cognition as a whole. To show the advantages of this view, I propose three thought experiments: the dark room, the imaginary room and the transparent room. These thought experiments demonstrate that understanding is not necessarily in contrast with prediction, and must be linked with the notions of trust and timescale. I address the potential objections and conclude that connecting understanding to prediction leads to a description of understanding as an epistemic success involving the management of corpora of information, ultimately connected to the precision-weighting of epistemic networks.
In this paper, I analyse the problem of the goal of understanding. The rationale behind this attempt is to answer Trout’s (2017) perplexities about the literature on understanding by offering a functional approach.
Understanding has been connected with science and its goals, but only a few attempts—e.g. Hannon (2019)—have been made to explicitly describe its goal. Here, I suggest that the goal of understanding might be connected to prediction. This proposal is counterintuitive, as some literature sees understanding and prediction as contrasting goals. To make sense of this objection, it is necessary to look further at the relationship between…
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