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. © Springer-Verlag Berlin Heidelberg 2004.