A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2015; you can also visit the original URL.
The file type is application/pdf
.
Evolving Strategies for Social Innovation Games
2015
Proceedings of the 2015 on Genetic and Evolutionary Computation Conference - GECCO '15
While evolutionary computation is well suited for automatic discovery in engineering, it can also be used to gain insight into how humans and organizations could perform more e↵ectively in competitive problem-solving domains. This paper formalizes human creative problem solving as competitive multiagent search, and advances the hypothesis that evolutionary computation can be used to discover e↵ective strategies for it. In experiments in a social innovation game (similar to a fantasy sports
doi:10.1145/2739480.2754790
dblp:conf/gecco/BahceciKM15
fatcat:xanhbgndkzhanmfrdcmbrx25gi