Solution Generation through Hybrid Intelligence and Creativity based on Investment Portfolio

doi:10.23940/ijpe.18.07.p29.16411650

Abstract

Abstract:

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.

Submitted on April 16, 2018; Revised on May 19, 2018; Accepted on June 16, 2018
References: 32

Qinyun Liu, Hua Zhou, Hongji Yang, and William Cheng Chung Chu. Solution Generation through Hybrid Intelligence and Creativity based on Investment Portfolio [J]. Int J Performability Eng, 2018, 14(7): 1641-1650.

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