Artificial intelligence (AI) is on everyone’s lips, but its results fall short of all expectations. Wouldn’t it be nice if computers could effortlessly give meaningful results to all kinds of questions from all kinds of unstructured data collections? Periodically, algorithms that do incredible things are celebrated in information technology. At the moment, it is the turn of artificial intelligence algorithms. Search engines are retrofitting AI. But the supposed product is far from real cognitive performance. Many open questions remain. History of Algorithms The first experts to work with algorithms to emulate human thought processes came from the fields of mathematics and philosophy. They wanted to formalise analytical thinking from the subfield of logic and describe it in models. In the 1950s, the algorithms were implemented on the computers that were emerging at the time.