AI learns to design

Science Daily  November 6, 2019
A team of researchers in the US (Carnegie Mellon University, Pennsylvania State University) has implemented a two-step framework that learns to imitate human design strategies from observation to generate designs without any explicit information about objective and performance metrics. It is trained to imitate a set of human designers by observing their design state sequences without inducing problem-specific modeling bias or extra information about the problem. It is designed to interact with the problem through a visual interface as humans did when solving the problem. The designs generated by a computational team of these agents are then compared with actual human data for teams solving a truss design problem. Results demonstrate that these agents can create feasible and efficient truss designs without guidance, showing that this methodology allows agents to learn effective design strategies…read more. TECHNICAL ARTICLE