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crea.blender: A Neural Network-Based Image Generation Game to Assess Creativity., , , , , , , , , and 2 other author(s). CoRR, (2020)Foundations of search behavior, beyond the exploration-exploitation trade-off., , and . CogSci, page 3381. cognitivesciencesociety.org, (2019)How institutional conditions impact university-industry search strategies and networks., and . Technol. Anal. Strateg. Manag., 26 (3): 253-266 (2014)Human Search in a Fitness Landscape: How to Assess the Difficulty of a Search Problem., , , and . Complex., (2020)Do physicists stop searches too early? A remote-science, optimization landscape investigation., , , , , , , , , and 10 other author(s). CoRR, (2017)crea.blender: A Neural Network-Based Image Generation Game to Assess Creativity., , , , , , , , , and 1 other author(s). CHI PLAY (Companion), page 340-344. ACM, (2020)Generating innovation opportunities: how to explore and absorb customer knowledge., and . Int. J. Technol. Manag., 56 (2/3/4): 172-187 (2011)CREA.blender: A GAN Based Casual Creator for Creativity Assessment., , , , , , , , and . ICCC, page 405-409. Association for Computational Creativity (ACC), (2021)Citizen Science, Gamification, and Virtual Reality for Cognitive Research., , , , , , , , and . CogSci, cognitivesciencesociety.org, (2017)