Generating creative ideas through patents

Authors:
Guihua Wen;Lijun Jiang;Jun Wen;Nigel R. Shadbolt
Affiliations:
South China University of Technology, Guangzhou, China and University of Southampton, Southampton, United Kingdom;South China University of Technology, Guangzhou, China;Hubei Insitute for Nationalities, Hubei, China;University of Southampton, Southampton, United Kingdom
Venue:
PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence
Year:
2006

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Abstract

This paper describes a creativity support system for assisting human creative activities through patents. It integrates problem definition, reminding, creating, evaluating, and visualizing modules to automatically generate creative ideas. The system utilizes natural language processing techniques to map the patents to vectors by which related patent objects are automatically reminded around the given problem. These reminded objects are divided into text fragments, from which new idea can be generated through an interactive genetic algorithm. The system differs from existing creativity support systems in that it automatically reminds patents and generates creative ideas. This has been empirically validated by the conducted experiments.