Three road blocks to solve for artifical general intelligence (#AGI)
1) Massive Multitask learning with a single joint model
2) Ability of algorithms to update their objective functions in continuous learning
3) Learnable combination of fuzzy/fluid and symbolic reasoning
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From data (either observational or the result of experiments).
@tdietterich i don’t understand your answer to @Grady_Booch. a set of data by itself is not a theory.
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My main concern is treating "abduction" as some special kind of inference. Probabilistic reasoning unifies deduction, induction, and abduction in a single, elegant framework. The difference isn't the kind of reasoning but the type of objects over which we are reasoning.
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Maybe, but how then to make all that work in, say, making the kinds of inferences that Sherlock Holmes made or in devising a machine that could induce a double helix from the data Watson and Crick had available.
@yudapearl is right that causality is a key part of the mix. - 8 more replies
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What two data points are for a quadratic equation, all the worlds data is for human brain structure.
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