What do predictive coders want?
What do predictive coders want?
复制标题
预测编码员想要什么？
作者：
C. Klein
所谓的“暗室问题”使得vivd在解释动机方面面临着纯预测性模型所面临的挑战。我认为这个问题很严重。通过预测编码架构解决暗室问题的建议要么在经验上是不充分的，要么在计算上是难以处理的。自由能原则可能会避免这个问题，但代价是把自己设定为一个高度理想化的模型，然后这对世界来说就是错误的。然而，我至少得出了一个乐观的结论。真实世界的实时系统可能会以各种方式体现激励状态，这些方式与FEP等理想化原则一致，包括直观地体现和扩展的方式。这可能会让预测编码理论家能够将他们的描述与具体的原则协调起来，即使这最终会破坏更远大的抱负。
The so-called “dark room problem” makes vivd the challenges that purely predictive models face in accounting for motivation. I argue that the problem is a serious one. Proposals for solving the dark room problem via predictive coding architectures are either empirically inadequate or computationally intractable. The Free Energy principle might avoid the problem, but only at the cost of setting itself up as a highly idealized model, which is then literally false to the world. I draw at least one optimistic conclusion, however. Real-world, real-time systems may embody motivational states in a variety of ways consistent with idealized principles like FEP, including ways that are intuitively embodied and extended. This may allow predictive coding theorists to reconcile their account with embodied principles, even if it ultimately undermines loftier ambitions.