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Some Issues in Computational Design Creativity
If you have a question about this talk, please contact Labi Ariyo.
Abstract: Computational Design Systems used to refer just to numerical analysis, or perhaps simulation, but in the early 1980s a number of researchers started to apply concepts from Artificial Intelligence to build models of designing and also systems that designed given requirements. The field has progressed since then, with research appearing in the AI in Engineering, AI in Design, and Design Computing & Cognition conferences, as well as in journals such as AI EDAM . Over the years, more complex and difficult issues have been addressed, with the original areas such as Configuration and Routine Design fairly well mastered. Now, twenty years later, attention is being paid to issues such as design teams, functional reasoning, and computational creativity. In this talk we will review some of the issues that make Computational Design Creativity difficult.
About the speaker: David Brown is Professor of Computer Science and has a collaborative appointment as Professor of Mechanical Engineering at Worcester Polytechnic Institute. He was the Editor in Chief of the Cambridge UP journal AIEDAM : AI in Engineering, Design, Analysis and Manufacturing for 10 years, and is on the Editorial Boards of several Journals, including: Concurrent Engineering: Research and Application. Prof. Brown is the author (with B. Chandrasekaran) of the book Design Problem Solving: Knowledge Structures and Control Strategies, Morgan Kaufmann Publishers, Inc., and a co-editor of Intelligent Computer Aided Design, Elsevier Science Publishers B.V. (North-Holland)
This talk is part of the Engineering Design Centre series.
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