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        "description": "# metaparse\n\nThis is to be a machine learning project to extract metainformation about information sources, such as agents online that share information.\n\n## Problem specification\n\nGiven some data from an information source `I`, recognize its [intent about content](https://wefindx.net) towards the world, answering following questions about the information source and its information content:\n\n- `F(domain).assets`:\n- `.Agent` (who?)\n- `.Place` (where?)\n- `.Event` (when?)\n- `.Topic` (about what?)\n- `X(process).actions`:\n- . `doing` (doing what?)\n- `Y(range).targets`:\n- `.Goal` (why?)\n- `.Idea` (how in principle?)\n- `.Plan` (what specifically?)\n- `.Step` (in what order?)\n\nThis will allow to treat every information source as an instance of equation optimization process `F(X)=Y`, where the actions of agents are explained by their `intents (Y)` about content their world  `model (F)`.\n",
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