Overall, a very good paper, both from an AI perspective and in terms of demonstrating how to apply various epistemic techniques that aren’t nearly as widespread as they should be. However, I have seen a few typos and other problems. The bottom of page 64 says,”Moore’s law could be taken as an ultimate example of grid: ” I think that should be grind. Also, I liked
Care must be taken when applying this method: the point is to extract a useful verifiable prediction, not to weaken or strengthen a reviled or favoured argument. The very first stratagems in Shopenhauer’s “The Art of Always being Right” [17] are to extend and over-generalise the consequences of your opponent’s argument; conversely, one should reduce and narrow down one’s own arguments. There is no lack of rhetorical tricks to uphold one’s own position, but if one is truly after the truth, one must simply attempt to find the most reasonable empirical version of the argument; the truth-testing will come later.
But wish the paper had been slightly more specific about how the authors avoided this failure mode.
Overall, a very good paper, both from an AI perspective and in terms of demonstrating how to apply various epistemic techniques that aren’t nearly as widespread as they should be. However, I have seen a few typos and other problems. The bottom of page 64 says,”Moore’s law could be taken as an ultimate example of grid: ” I think that should be grind. Also, I liked
But wish the paper had been slightly more specific about how the authors avoided this failure mode.