I imagine the following may have already been considered, 
nevertheless: It would seem constructive to undertake an 
analysis of breakthroughs in various fields (e.g. engineering, 
art, chemistry) to search for patterns that might be 
replicable. A general example of what I mean by a "pattern" 
would be, "thesis, antithesis, synthesis." Examples of 
patterns that such an analysis might uncover could include 
patterns of formal logic, the novel application in one field of 
a structure established in another field, the retrieval of 
insights from historical theories or practices that were once 
competitive, but were found inadequate and long forgotten, 
etc. An analysis of such patterns and the identification of 
meta-patterns would seem to require broad familiarity with the 
various disciplines in which the breakthroughs occurred; 
however, the work of identifying the patterns of specific 
breakthroughs, which might require extensive and deep knowledge 
in the respective fields, could be divided amongst various 
experts of various fields. Perhaps something like this would 
be worth adding to the agenda of the AI Impact Initiative or 
some similar interdisciplinary body.

-Mark


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