Computational Creativity in Naturalistic Decision-Making

Creativity can be of great importance in decision-making and applying computational creativity to decision support is comparatively feasible since novelty and value often can be evaluated by a reasonable human effort or by simulation. A prominent model for how humans make real-life decisions is reviewed and we identify and discuss six opportunities for enhancing the process with computational creativity. It is found that computational creativity can be employed for suggesting courses of action, unnoticed situation features, plan improvements, unseen anomalies, situation reassessments and information to explore. For each such enhancement opportunity tentative computational creativity methods are examined. Relevant trends in decision support research are related to the resulting framework and we speculate on how computational creativity methods such as story generation could be used for decision support.