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That's called transfer learning in ML and we are not very good at it, yet.

• crististm 8y ago
  Almost there! Have you seen Feynman talking that knowing the birds' names doesn't mean you know anything about them? Let's see how the machine learns about the concept of transfer learning in the first place :)
• faeyanpiraat 8y ago
  I’m not sure about the quality of my linked article but it seems like that humans becoming good at chess does not noticeably improve their other skills. They will simply be better at chess. So our expectations might bee too high against AI getting vastly better only by doing better transfer learning. http://theconversation.com/does-playing-chess-make-you-smarter-a-look-at-the-evidence-76062 http://theconversation.com/does-playing-chess-make-you-smart...
  • YeGoblynQueenne 8y ago
    Learning chess will make you better at other board games, even if it doesn't improve, say, your maths or language skills. For instance, chess may teach you lessons about sacrificing assets to earn a reward later on, or lessons about material advantage, tempo, controlling the board and so on, that can be applied to many different games. That counts as transfer learning and it is something that statistical machine learning cannot do at all, basically (i.e. a new model has to be trained from scratch for each different game). As an aside- you might argue that there are common elements of board games' design that make it easier to reuse knowledge. However, statistical machine learning systems can still not transfer knowledge of one game to others, even given the common design elements that should make it easier.