RE-THINKING OPTIMIZATION AS A COMPUTATIONAL DESIGN TOOL: A SITUATED AGENT APPROACH

This paper presents a situated agent-based tool for design optimization. A situated agent captures, learns from and re-uses the interactions which it 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.