Sunday, February 02, 2020
Artificial ideation
Problem-solving is part and parcel of design ideation; how to generate,
develop and communicate ideas towards a solution. However, it is known that the same design solutions appear over and over again because designers face the same types of problems over and over again. The fact that problem-solving often shows patterns of similarlity or repetition across industries was observed early by TRIZ, a mehod that evolved in post-war USSR to help finding inventive technical solutions to
challenging problems more effectively. Based originally on collecting and analysing thousands of
patents, TRIZ has since produced and developed software (algorithm for inventive
problem solving) resulting in better understanding of complex management problems and finding effective solutions. This result may suggest a similar approach for ideation. That is, to build an extensive digital data base of design
precedents, including, for example, 3D scans of realised buildings that will provide a tool for problem-solving. But although computers are
commonly used for general problem-solving, based on generic algorithms,
the challenge for ideation by algorithm, or "artifical ideation" is to formulate the actual problem
so that the computer is able to understand
it (machine learning). So when dealing with "wicked
problems", optimal design solutions may still require both algorithm (unambiguous specification) and free-form reflection and lateral thinking.
Subscribe to:
Post Comments (Atom)
No comments:
Post a Comment