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Solution Generation through Hybrid Intelligence and Creativity based on Investment Portfolio

Volume 14, Number 7, July 2018, pp. 1641-1650
DOI: 10.23940/ijpe.18.07.p29.16411650

Qinyun Liua, Hua Zhoub, Hongji Yangc, and William Cheng Chung Chud

aCentre for Creative Computing, Bath Spa University, Bath, England
bCollege of Big Data and Intelligence Engineering, Southwest Forestry University, Kunming, 650000, China
cDepartment of Informatics, University of Leicester, Leicester, England
dDepartment of Computer Science, Tunghai University, Taiwan, China

(Submitted on April 16, 2018; Revised on May 19, 2018; Accepted on June 16, 2018)


Artificial Intelligence (AI) has been developed to be robust on computing. Learning can be achieved by connecting to heterogeneous data using AI algorithms, such as the Artificial Neural Network. Knowledge can be learned, and rules in the database can be discovered by machines through heuristic algorithms. However, creativity has not been achieved by computers like the human brain by using AI algorithms individually. This research serves to explore a method to achieve creative solution generation by utilizing a relationship between intelligence and creativity, assuming intelligence is the subset of creativity. Under this relationship, the computing can be fulfilled using AI algorithms. The theories of achieving creativity is the guidance of this method.


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