RE-THINKING OPTIMIZATION AS A COMPUTATIONAL DESIGN TOOL: A SITUATED AGENT-BASED APPROACH
This paper presents a situated agent-based tool for design optimization. A situated agent captures, learns from and re-uses the interactions which has with its external environment, forming the basis for experience-based knowledge building in an agent. An agent is developed for design modeling, reformulation and algorithm selection-a class of tasks in design optimization traditionally performed by humans based on their experience, and hard to automate.
Somwrita Sarkar John S. Gero Rob Saunders
Key Centre of Design Computing and Cognition University of Sydney
国际会议
南京
英文
176-182
2007-04-19(万方平台首次上网日期,不代表论文的发表时间)