Creative AI Through Evolutionary Computation: Principles and Examples

In the last decade or so we have seen tremendous progress in Artificial Intelligence (AI). AI is now in the real world, powering applications that have a large practical impact. Most of it is based on modeling, i.e. machine learning of statistical models that make it possible to predict what the right decision might be in future situations. For example, we now have object recognition, speech recognition, game playing, language understanding, and machine translation systems that rival human performance, and in many cases exceed it [28, 10, 9]. In each of these cases, massive amounts of supervised data exists, specifying the right answer to each input case.