A new system for approaching artificial creativity

Liu, Q (2020) A new system for approaching artificial creativity. PhD thesis, Bath Spa University.

Abstract

In human society, creativity is essential for human to achieve unique performance on generating several evolutions to improve social development compared with other creatures on earth. In recent years, the computer is becoming an imperative tool for people detecting creative ideas for further development. This research aims at approaching artificial creativity and developing a framework as guidance to produce creative ideas in different subjects by combining different methods from multi-­disciplines based on creative computing theories. Creative computing theories include knowledge combination, enhancement of human creativity, encouragement of tacit knowledge and its movement into procedural knowledge, crossing levels abstraction, and so forth [31] will be applied in this combinational research topic. Traditional approaches used for generating creativity include pragmatic, psychodynamic, psychometric, cognitive, and some other approaches, which can rarely achieve artificial creativity effectively. Further, creativity can be generated by human from any form, such as data, information, and knowledge. Artificial creativity can be generated from different composition of data, information, and know ledge. Regarding creativity as the final output, three types of input forms for identifying creativity are single element, two elements, and triple elements respectively. In this research, an artificial creativity system will be built for transferring different types of input set to creativity. Four subsystems will be created for addressing different types of input set, including transformation of knowledge into creativity (KC), transformation of data and information into creativity (DIC), transformation of information and knowledge into creativity (IKC), and transformation of data-information-knowledge into creativity (DIKC). Multi-disciplinary methods are used to achieve related algorithms in four subsystems to generate the entire artificial creativity framework. The framework can make artificial creativity being achieved for solving problems in different subjects.

Item Type: Thesis (PhD)
Keywords: creative computing, artificial creativity
Divisions: School of Creative Industries
Date Deposited: 11 Oct 2021 12:55
Last Modified: 11 Oct 2021 12:55
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