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How does it compare to BrainPhoque, the language used in Learning Universal Predictors (Hutter 2024) to approximate normalized Solomonoff induction?
by Vecr 3y ago
How does it compare to BrainPhoque, the language used in Learning Universal Predictors (Hutter 2024) to approximate normalized Solomonoff induction?
- tromp 3y agoBP is like a slightly messier BrainFuck. Its alphabet size of 17 is rather odd. Its spec (Section E.2 of [1]) says > programs containing unbalanced parentheses are made valid, in particular by skipping any additional ]. But that still leaves programs invalid programs like "[[[[". From a theoretical viewpoint, its biggest flaw is the lack of an input tape, which makes it a non-optimal description method in the sense of [2]. In particular, while BLC programs are at most a constant larger than BP ones, the reverse is not true. The version of BF that I interpret in [3] is still optimally universal, because its program delimiting fist unbalanced ] is followed by its binary input. [1] https://arxiv.org/html/2401.14953v1 https://arxiv.org/html/2401.14953v1 [2] https://gist.github.com/tromp/86b3184f852f65bfb814e3ab0987d861#universality https://gist.github.com/tromp/86b3184f852f65bfb814e3ab0987d8... [3] https://gist.github.com/tromp/86b3184f852f65bfb814e3ab0987d861#brainfuck https://gist.github.com/tromp/86b3184f852f65bfb814e3ab0987d8...