From the Santa Fe Institute
A new study by several SFI-affiliated researchers demonstrates a way to measure the interconnectedness of a technology's components and predict which technologies are likeliest to advance rapidly and which, due to their complexity, are likely to improve more slowly.
Knowing this can help policy makers make better investment decisions between, for example, two renewable energy technologies, or help engineers create designs with better prospects for improvement....
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