DocumentCode
174063
Title
Human-centric computational knowledge environment for complex or ill-structured problem solving
Author
Hao Wang ; Chen Zhang ; Wei Wang ; Xiaohui Hu ; Fanjiang Xu
Author_Institution
Sci. & Technol. on Integrated Inf. Syst. Lab., Inst. of Software, Beijing, China
fYear
2014
fDate
5-8 Oct. 2014
Firstpage
2940
Lastpage
2945
Abstract
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.
Keywords
data mining; decision making; decision support systems; CKE; InnoSpider; complex problem solving; creativity technique; decision making; human nonlinear thinking; human-centric computational knowledge environment; ill-structured problem solving; knowledge discovery; Cognition; Computers; Context; Decision making; Decision support systems; Knowledge engineering; Problem-solving; complex or ill-structured problem; computational knowledge environment; context graph; decision making; knowledge;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man and Cybernetics (SMC), 2014 IEEE International Conference on
Conference_Location
San Diego, CA
Type
conf
DOI
10.1109/SMC.2014.6974377
Filename
6974377
Link To Document