John Miles
A forward look at computational support for conceptual design
Miles, John; Hall, Lisa; Noyes, Jan; Parmee, Ian; Simons, Chris
Authors
Lisa Hall
Jan Noyes
Ian Parmee
Christopher Simons Chris.Simons@uwe.ac.uk
Occasional Associate Lecturer - CATE - CCT
Contributors
David Hutchison
Editor
Takeo Kanade
Editor
Josef Kittler
Editor
Jon M. Kleinberg
Editor
Friedemann Mattern
Editor
John C. Mitchell
Editor
Moni Naor
Editor
Oscar Nierstrasz
Editor
C. Pandu Rangan
Editor
Bernhard Steffen
Editor
Madhu Sudan
Editor
Demetri Terzopoulos
Editor
Doug Tygar
Editor
Moshe Y. Vardi
Editor
Gerhard Weikum
Editor
Abstract
Future research needs for computational support for conceptual design are examined. The material is the result of the work of a so called design cluster. The cluster has, through a series of workshops, defined what it believes are the salient areas in which further research is needed. The work has a strong people centred approach as it is believed that, for the near future, it is only through a combination of man and machine that acceptable designs will be achieved. The cluster has identified 5 key areas and 39 sub-classes. The discussion focuses on the key areas and how these link to future research requirements in people centred computation for conceptual design. © Springer-Verlag Berlin Heidelberg 2006.
Presentation Conference Type | Conference Paper (published) |
---|---|
Publication Date | Jan 1, 2006 |
Journal | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
Print ISSN | 0302-9743 |
Electronic ISSN | 1611-3349 |
Publisher | Springer Verlag |
Peer Reviewed | Not Peer Reviewed |
Volume | LNCS, volume 4200 |
Pages | 492-499 |
Series Title | Lecture Notes in Computer Science |
Series Number | 4200 |
ISBN | 3540462465; 9783540462460 |
DOI | https://doi.org/10.1007/11888598_44 |
Keywords | artificial intelligence, computer-aided engineering, computation by abstract devices, information storage and retrieval, civil engineering, complexity |
Public URL | https://uwe-repository.worktribe.com/output/1044708 |
Publisher URL | http://dx.doi.org/10.1007/11888598_44 |
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