Title :
The “what” and “how” of learning in design
Author_Institution :
Strathclyde Univ., Glasgow, UK
Abstract :
Machine learning in design offers tremendous potential to actively support designers in all of their problem solving and knowledge requirement activities. This article surveys what designers and their systems have accomplished so far using machine learning techniques
Keywords :
case-based reasoning; intelligent design assistants; learning (artificial intelligence); problem solving; analogical reasoning; artificial intelligence; domain exploration; genetic algorithms; induction-based approach; intelligent CAD; intelligent design aids; knowledge compilation; knowledge requirement; machine learning; neural networks; problem solving; Costs; Design automation; Design engineering; Humans; Intelligent systems; Knowledge engineering; Learning systems; Machine learning; Process design; Systems engineering and theory;
Journal_Title :
IEEE Expert
