CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

PDF papers
References
id acadia17_426
authors Moorman, Andrew
year 2017
title Pattern Making and Learning: Non-Routine Practices in Generative Design
doi https://doi.org/10.52842/conf.acadia.2017.426
source ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 426- 435
summary We now witness an upsurge in mainstream generative design tools fortified by simulation that speed up the concealed linear synthesis of optimized design alternatives. In pursuit of optimality, these tools saturate local machines or cloud servers with analysis and design iteration data, only to discard it once the procedure has concluded. Largely absent, however, are tools for an active, adaptive relationship with design exploration and the reuse of corresponding design data and metadata. In Pattern Making and Pattern Learning, we propose that these characteristics are mutually beneficial. This paper presents a series of revisions to the optimization framework for routine design synthesis that examine a potential symbiosis between the production of large datasets (big data) and non-routine practices of making in design. Our engagement with iterative design exercises is twofold: as a supply of computer-generated design information to foster user intuition and explore the design space on non-objective terms, and as a supply of human-generated design information to learn artifacts of user preference in the interest of design software personalization. These concepts are applied to the generation of functionally graded patterning in chair design, combining methods of physical production with programmable sheet material behavior through a custom interactive synthesis framework.
keywords design methods; information processing; ai & machine learning; simulation & optimization; generative system
series ACADIA
email
full text file.pdf (3,297,854 bytes)
references Content-type: text/plain
Details Citation Select
100%; open Brown, N., J. I. F. de Oliveira, J. Ochsendorf, and C. Mueller (2016) Find in CUMINCAD Early-Stage Integration of Architectural and Structural Performance in a Parametric Multi-Objective Design Tool , Proceedings of the 3rd International Conference on Structures and Architecture. Guimar?es, Portugal: ICSA

100%; open Carpo, Mario (2011) Find in CUMINCAD The Alphabet and the Algorithm , Cambridge: MIT Press

100%; open Gero, John S (1994) Find in CUMINCAD Computational Models of Creative Design Processes , Artificial Intelligence and Creativity: An Interdisciplinary Approach, edited by Terry Dartnall. Dordrecht, Netherlands: Springer. 269–281

100%; open Harrison, Laura, Chris Earl, and Claudia Eckert (2015) Find in CUMINCAD Exploratory Making: Shape, Structure and Motion , Design Studies 41: 51–78

100%; open Jacobsen, Joseph O., Brian G. Winder, Larry L. Howell, and Spencer P. Magleby (2010) Find in CUMINCAD Lamina Emergent Mechanisms and Their Basic Elements , Journal of Mechanisms and Robotics 2 (1): 011003

100%; open Knight, Terry, and Theodora Vardouli (2015) Find in CUMINCAD Computational Making , Design Studies 41: 1–7

100%; open Knight, Terry (2015) Find in CUMINCAD Shapes and Other Things , Nexus Network Journal 17 (3): 963–980

100%; open König, Oliver, and Georges M. Fadel (1999) Find in CUMINCAD Application of Genetic Algorithms in the Design of Multi-Material Structures Manufactured in Rapid Prototyping , Proceedings of the Solid Freeform Fabrication Symposium. Austin, TX: SFF. 209–218

100%; open Lehman, Joel, and Kenneth O. Stanley (2011) Find in CUMINCAD Novelty Search and the Problem with Objectives , Genetic Programming Theory and Practice IX, edited by Rick Riolo, Ekaterina Vladislavleva, and Jason H. Moore. New York: Springer. 37–56

100%; open Moorman, Andrew (2016) Find in CUMINCAD Embodied Learning and Making: In Dialogue with Machine Intelligence , B.Arch thesis, Cornell University. Advisors: Jenny Sabin and Donald P. Greenberg

100%; open Mu?nzer, Clemens, Bergen Helms, and Kristina Shea (2013) Find in CUMINCAD Automatically Transforming Object-Oriented Graph-Based Representations into Boolean Satisfiability Problems for Computational Design Synthesis , Journal of Mechanical Design 135 (10): 101001

100%; open Mueller, Caitlin T., and John A. Ochsendorf (2015) Find in CUMINCAD Combining Structural Performance and Designer Preferences in Evolutionary Design Space Exploration , Automation in Construction 52: 70–82

100%; open Nourbakhsh, Mehdi, Nigel Morris, Michael Bergin, Francesco Iorio, and Daniele Grandi (2016) Find in CUMINCAD Embedded Sensors and Feedback Loops for Iterative Improvement in Design Synthesis for Additive Manufacturing , ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Charlotte, NC: ASME IDETC/CIE. V01AT02A031-V01AT02A031

100%; open Pedregosa, Fabian, Gaël Varoquaux, Alexandre Gramfort, Vincent Michel, Bertrand Thirion, Olivier Grisel, Mathieu Blondel, Peter Prettenhofer, Ron Weiss, Vincent Dubourg, Jake Vanderplas, Alexandre Passos, David Cournapeau, Matthieu Brucher, Matthieu Perrot, and Édouard Duchesnay (2011) Find in CUMINCAD Scikit-Learn: Machine Learning in Python , Journal of Machine Learning Research 12: 2825–2830

100%; open Shea, Kristina, Robert Aish, and Marina Gourtovaia (2005) Find in CUMINCAD Towards Integrated Performance-Driven Generative Design Tools , Automation in Construction 14 (2): 253–264

last changed 2022/06/07 07:58
pick and add to favorite papersHOMELOGIN (you are user _anon_960176 from group guest) CUMINCAD Papers Powered by SciX Open Publishing Services 1.002