Towards Cognitive Social Machines for Bridging the Cognitive-Computational Gap in Creativity and Creative Reasoning

Abstract

This position paper presents a view on bridging the cognitive-computational gap in the field of creativity, creative reasoning and problem solving. Starting from the levels of Cognition and Computation, their potential bootstrap is discussed in relation to the concept of Cognitive Social Machines. Five distinct aspects of bridging the cognitive- computational gap in creative reasoning using cognitive social machines are described and discussed in the creativity domain. These aspects refer to (i) building systems and models which solve creative reasoning tasks; (ii) computationally generated tools for a deeper understanding of cognition; (iii) cognitively-inspired processes and knowledge representation types; (iv) computational cognitive assistance, support and training and (v) evaluative informativity metrics for cognitive social machines.