Hi, I'm a novice taking up AI as a hobby for the first time. I apologize in advance if my questions are too vague/not technical enough for this list but I've been an avid learner/lurker for some time. Im more interested in Sentic Computing and systems that can infer human emotions. My interests concern the natural language processing elements of OpenCog and what it means for an OpenCog agent to "understand" dialog. Also, the other question I have is how would the learning algorithms and the Probabilistic Logic Network engine that's at the heart of opencog mesh with the narrow AI "knowledge ontologies" like the CommonSense Computing knowledge base or Cyc, would it be possible for a chat-bot type embodied OpenCog mind to use a Knowledge Engine as its own internal "Google" to learn things into its AtomSpace and what would be the best way to "hook" it to a data source such as that so it could make queries when it gets stuck in a conversation or would like more info, etc? Final question is, is there anything of use that can be applied from CALO (the project that Siri branched off it) into the OpenCog architecture? Thanks for taking the time to answer my questions.
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