Category Archives: Computer Science

Artificial Neural Networks

Of the many, many different ideas put forward to explain, model, and experiment with artificial cognition, one of the most practically successful is the Artificial Neural Network. Not because we’ve managed to actually create cognition with one, but because of … Continue reading

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Bayesian Networks

I have mentioned before that Bayesian Inference is, in general, intractable. People like Gaussians a lot because many nice results in closed-form can be derived from them, analytical treatments are in general possible and even easy to do, but for … Continue reading

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What’s logical coherence for anyway?

Time for a writeup! Or something. So I’ve written before about Logical Uncertainty in a very vague way. And a few weeks ago I wrote about a specific problem of Logical Uncertainty which was presented in the MIRI workshop. I’m gonna reference definitions and results from … Continue reading

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The Metaphor of the Hills

Imagine that one day you’re standing on a very foggy field of grassy hills. It’s so foggy you can’t see even an inch in front of your nose, and what’s worse, you have no GPS or 4G reception. You decide to … Continue reading

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