|PI/ Co PI/ Collaborator: Sam Conrad Joyce||Funding Source: -|
|Start Date: -||End Date: -|
A project proposing new ways to design, it looks at the application of machine learning and optimisation to drive the investigation of design options.
Taking parametric generative systems as a starting point this project aims to identify and implement means for designers and also non-specialists to influence design by giving high-level feedback on concrete, interactively generated options.
This input is embedded in a larger “mixed-initiative” process which uses machine learning to model user preferences (both individual and collective) as well as using optimisation to produce high performance designs.