Would this systems be able to answer a question like "Where did Snow White's friends or housemates go" if the word "friend" or "housemate" weren't in the text?

Would this systems be able to answer a question like "Where did Snow White's friends or housemates go" if the word "friend" or "housemate" weren't in the text? A compounded system would. This fill-in-the-blank neural net, combined with another neural net to do synonyms (match the word from text that would align with friend/housemate)... that's like Word Vectors: https://www.tensorflow.org/versions/r0.9/tutorials/word2vec/index.html https://www.tensorflow.org/versions/r0.9/tutorials/word2vec/.... I think your daughter has these sorts of learnings and more. Also, if we give a computer/robot a bunch of these neural nets (reading, word-veccing, etc), and it is also programmed as a chatbot, we're going to start having a lot more existential questions about consciousness. This convergence of simple systems to form "consciousness" seems to match some recent evolutionary science too:(http://www.theatlantic.com/science/archive/2016/06/how-consciousness-evolved/485558/ http://www.theatlantic.com/science/archive/2016/06/how-consc.... Though maybe I'm not making a fair leap.