Testing Tournament Selection in Creative Problem Solving Using Crowds

Thirty Second International Conference on Information Systems, December 2011

17 Pages Posted: 9 Apr 2012

See all articles by Yasuaki Sakamoto

Yasuaki Sakamoto

AXA Direct Japan

Jin Bao

Stevens Institute of Technology - School of Business

Date Written: December 4, 2011

Abstract

We tested a technique for creative problem solving, which used crowd-based genetic algorithms; one crowd generated initial ideas, another crowd evaluated the quality of these ideas, and yet another crowd combined pairs of ideas selected by the computer. The pairs were selected through a tournament method, in which two ideas chosen were biased toward higher quality. To test the technique, we asked a crowd to evaluate a subset of 468 solutions for the 2010 oil spill in the Gulf of Mexico produced by another crowd of 1853 individuals, and 311 solutions by 311 experts. The crowd evaluated the most creative crowd solutions as creative as the most creative expert solutions. Moreover, tournament selection led to greater improvement in the creativity of combined solutions than random selection, in which two solutions were chosen randomly. Creative problem solving using crowd-based genetic algorithms can work with good design.

Keywords: Creative problem solving, crowd-based genetic algorithms, evaluation

Suggested Citation

Sakamoto, Yasuaki and Bao, Jin, Testing Tournament Selection in Creative Problem Solving Using Crowds (December 4, 2011). Thirty Second International Conference on Information Systems, December 2011. Available at SSRN: https://ssrn.com/abstract=2037449

Yasuaki Sakamoto (Contact Author)

AXA Direct Japan ( email )

Japan

Jin Bao

Stevens Institute of Technology - School of Business ( email )

Hoboken, NJ 07030
United States

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