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GECCO
2004
Springer

Enhanced Innovation: A Fusion of Chance Discovery and Evolutionary Computation to Foster Creative Processes and Decision Making

8 years 8 months ago
Enhanced Innovation: A Fusion of Chance Discovery and Evolutionary Computation to Foster Creative Processes and Decision Making
Abstract. Human-based genetic algorithms are powerful tools for organizational modeling. If we enhance them using chance discovery techniques, we obtain an innovative approach for computer-supported collaborative work. Moreover, such a user-centered approach fuses human and computer partners in a natural way. This paper presents a first test, as well as analyzes the obtained results, of real human and computer collaboration powered by the fusion of human-based genetics algorithms and chance discovery. 1 Motivation DISCUS (Distributed Innovation and Scalable Collaboration in Uncertain Settings) [1] is an endeavor to create innovation support mechanisms. Such innovation support mechanisms rely on the metaphor of genetic algorithms as models of human innovation. The metaphor establishes both a qualitative and quantitative pathway for the design of such systems, taking advantage of mechanism and analytical design theory developed for more than twenty years on competent GAs [2]. Human-base...
Xavier Llorà, Kei Ohnishi, Ying-Ping Chen,
Added 01 Jul 2010
Updated 01 Jul 2010
Type Conference
Year 2004
Where GECCO
Authors Xavier Llorà, Kei Ohnishi, Ying-Ping Chen, David E. Goldberg, Michael Welge
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