Human-centric computational knowledge environment for complex or ill-structured problem solving
Hao Wang, Chen Zhang, Wei Juan Wang, Xiaohui Hu, Fanjiang Xu · 2014
A complex or ill-structured problem cannot be solved only replying on computer since they require human's nonlinear thinking and even innovation. In this paper, taking respective advantages of computer and human, we propose a novel computational knowledge environment (CKE) where human is able to cognize tacit and new knowledge for complex or ill-structured problem solving, through fusing potential knowledge discovered from the collected information data supported by computer. Following the CKE framework, we develop a creativity technique called InnoSpider which greatly support human's perception, intuition, reasoning and cognition for quick decision making. A case study have verified the effectiveness of CKE, and have indicated InnoSpider can drive human to make high-quality decisions in a shorter time.