That's only the representation of a concept. Different systems and different approaches will have different representations but that doesn't change the fact of what is being represented.
But if the issue is about "research in AI has had to deal with the concept of "concept" since the inception" (and of course it had to), the contribution in this paper is to try an operational implementation that could bear fruit and possibly fix architectural shortcomings of the mainstream effort.
Right, but there's been many operationalisations before. That's what's not new. Tome Mitchell's textbook has plenty of examples. Basically all of machine learning is about learning concepts- in practice as well as in theory. That's the whole point.
