Induction-Deduction-Abduction Framework for Artificial Intelligence
A new framework to think about A(G)I more systematically I feel like we need a new framework to think about A(G)I more systematically. While it is true that there are already some frameworks to consider, such as Juergen Schimidhoober's Godel Machine, Marcus Hutter's AIXI, and Karl Friston's Bayesian Brain (with free energy principle), I tend to feel unsatisfied with all of these existing approaches. Of course, this tells nothing about the correctness and elegance of these frameworks or their disadvantages. My main goal is not to disprove any of these frameworks but rather to build my own that (almost) fully satisfies my (right or wrong) intentions with the framework. The reason that I am not satisfied with the existing frameworks could actually be because I haven't fully read any of them, and therefore, I am probably missing lots of insights and details that are already present in the existing approaches. Maybe I wouldn't even feel the need to come up with my ow