Inductive Learning
For a very long time, Artificial Intelligence (AI) seemed no match for the supposedly “easy” tasks. “Easy” as in the ones that even small children can do, like lifting blocks and stacking them to form a tower. Or identifying objects in a pic. The problem wasn’t just about processing power or good enough sensors, because those were getting better and cheaper all the time. So what then was the problem? But before I get to that question, remember “machine learning”? Over-simplified, it is the most popular way machines learn: 1) Load just a very few, very high-level rules into the computer; 2) Throw a whole lot of data at the computer to interpret on its own ; 3) Let the computer create its own rules, include changing existing ones ; 4) Repeat steps 2 and 3. Step #3 is why it is called “machine learning”. It is also the attempt at AI that has yielded the most results fr...