§Augmented Knowledge Generation

Augmented Knowledge Generation is an umbrella for the various lines of inquiry to use new technology (mostly computers, but could also be process technology) to unlock new knowledge that people wouldn’t come up with “the old fashioned way.”

I think it’s worthwhile to put all of them in the same place because if you’re purely interested in “§How do we get more awesome sci-fi shit?” it’s possible the most useful approach is a hybrid.

At high level, all of the approaches use some combination of

List of Different Approaches

History

- [[As we may think]]
- [[Undiscovered Public Knowledge (Paper)]]
- [[DARPA and IARPA have run at least five programs focused on UPKD covering both crowd and algorithmic knowledge discovery]]

Criticism of UPKD

- [[Most human knowledge is not encoded]]
- [[UPKD requires public knowledge to be both discoverable and interpretable in order to produce useful results]]
- [[In order for knowledge to be discoverable and interpretable that means that it needs to be encodable]]
- [[Of conception and implementation of undiscovered public knowledge, conception is the low-hanging fruit]]
- [[Just having the piece of literature doesn’t solve the problem]]
- [[The limiting reagent for UPKD is better methods for increasing interpretability]]
- [[People have tried many different attempts to get experts to encode public knowledge in ways that make it easier to connect the pieces]]
- [[Structuring knowledge is expensive]]
-  [[Commercial approaches to UPKD act like specialized search engines]] 
- [[Knowledge discovery is just not that useful]]

Other Methods

References

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