Scaling up analogical innovation with crowds and AI.

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.

authors

Kittur A,Yu L,Hope T,Chan J,Lifshitz-Assaf H,Gilon K,Ng F,Kraut RE,Shahaf D

doi

10.1073/pnas.1807185116

subject

Has Abstract

pub_date

2019-02-05 00:00:00

pages

1870-1877

issue

6

eissn

0027-8424

issn

1091-6490

pii

1807185116

journal_volume

116

pub_type

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