I was reading the text book "how the body shapes the way we think" and i came across this sentence in chapter 2:
"And to our knowledge, there are currently no artificial systems capable of dealing
with this kind of knowledge in a flexible and adaptive way, because it is
not propositional and thus hard to formalize in a symbolic system." (page 33).
Prof. Rolf was arguing in this part that the classical approach fails to describe or understand intelligence and gave an example by how hard (impossible) for an abstract algorithm to understand natural language and extract statements/info out of it.
Well, i kindly disagree, IBM started a project called "DeepQA" in 2007. the purpose of that project was to create an algorithm that can understand natural language as it is (with no cheating nor exploits).
To evaluate their results, they called their product "Watson" and aimed for watson to participate, compete and become a champion in Jeopardy, a popular open-field Q/A game in the US.
Not only they were able to succeed, they actually were able to compete and win against national champions using only their algorithm and a huge database of textbooks & wiki articles stored offline in an 8 refrigerator-sized database.
Please, kindly have a look at this presentation:
And so, i though that this argument is not valid anymore