Abstract:
:Analogy-the ability to find and apply deep structural patterns across domains-has been fundamental to human innovation in science and technology. Today there is a growing opportunity to accelerate innovation by moving analogy out of a single person's mind and distributing it across many information processors, both human and machine. Doing so has the potential to overcome cognitive fixation, scale to large idea repositories, and support complex problems with multiple constraints. Here we lay out a perspective on the future of scalable analogical innovation and first steps using crowds and artificial intelligence (AI) to augment creativity that quantitatively demonstrate the promise of the approach, as well as core challenges critical to realizing this vision.
journal_name
Proc Natl Acad Sci U S Aauthors
Kittur A,Yu L,Hope T,Chan J,Lifshitz-Assaf H,Gilon K,Ng F,Kraut RE,Shahaf Ddoi
10.1073/pnas.1807185116subject
Has Abstractpub_date
2019-02-05 00:00:00pages
1870-1877issue
6eissn
0027-8424issn
1091-6490pii
1807185116journal_volume
116pub_type
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