Cumincad : CUMINCAD Papers : Search Results

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

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_id	2cd9
authors	Ceccato, C. Fischer, Th., Li Chun-Man, G. and Frazer, J.
year	2002
title	A Large-Scale Computing Infrastructure for Design Education
doi	https://doi.org/10.52842/conf.ecaade.2002.282
source	Connecting the Real and the Virtual - design e-ducation [20th eCAADe Conference Proceedings / ISBN 0-9541183-0-8] Warsaw (Poland) 18-20 September 2002, pp. 282-289
summary	Most departmental computing infrastructure reflects the state of networking technology and available funds at the time of construction, which converge in a preconceived notion of homogeneity of network architecture and usage patterns. The DMAN (Digital Media Access Network) project, a large-scale server and network foundation for The Hong Kong Polytechnic University’s School of Design, was created as a platform that would support a highly complex academic environment while giving maximum freedom to students, faculty and researchers through simplicity and ease of use. As a centralized multi-user computation backbone, DMAN faces an extremely heterogeneous user and application profile, exceeding implementation and maintenance challenges of typical enterprise, and even most academic server set-ups. This paper summarizes the specification, implementation and application of the system while describing its significance for design education in a computational context.
series	eCAADe
email
last changed	2022/06/07 07:55

_id	c82f
authors	Chang, Yu-Li
year	2002
title	Exploring syntax and semantics of spatial structure - A study on Traditional Taiwanese City form in Chi’i’ng Dynasty
doi	https://doi.org/10.52842/conf.ecaade.2002.412
source	Connecting the Real and the Virtual - design e-ducation [20th eCAADe Conference Proceedings / ISBN 0-9541183-0-8] Warsaw (Poland) 18-20 September 2002, pp. 412-416
summary	Abstract. In this paper, we want to figure out the relations of complex semantics and syntax on five traditional Taiwanese cities in Chi’i’ng Dynasty by using a language approach. The issues of traditional Taiwanese central city in Chi’ing Dynasty had been interpreting by historical, social, and cultural research but had lacked the explicit construction of spatial structure on semantics-syntax. Therefore, we use a data modeling on knowledge level to describe the relationship between syntax and semantics. Through the research of Chi’ing Dynasty‘s history, we find out the spatial relations of Taiwanese traditional city to establish the functional categories of spatial structures. Then the language of semantics components and the meaning’s attributes are coded as logical statements to map the elements of syntax on architectural form, political vocabularies, spatial layout, and spatial myth. We argue that using this approach several social and spatial structures of cities can be clearly defined and understood.
series	eCAADe
email
last changed	2022/06/07 07:55

_id	sigradi2006_e028c
id	sigradi2006_e028c
authors	Griffith, Kenfield; Sass, Larry and Michaud, Dennis
year	2006
title	A strategy for complex-curved building design:Design structure with Bi-lateral contouring as integrally connected ribs
source	SIGraDi 2006 - [Proceedings of the 10th Iberoamerican Congress of Digital Graphics] Santiago de Chile - Chile 21-23 November 2006, pp. 465-469
summary	Shapes in designs created by architects such as Gehry Partners (Shelden, 2002), Foster and Partners, and Kohn Peterson and Fox rely on computational processes for rationalizing complex geometry for building construction. Rationalization is the reduction of a complete geometric shape into discrete components. Unfortunately, for many architects the rationalization is limited reducing solid models to surfaces or data on spread sheets for contractors to follow. Rationalized models produced by the firms listed above do not offer strategies for construction or digital fabrication. For the physical production of CAD description an alternative to the rationalized description is needed. This paper examines the coupling of digital rationalization and digital fabrication with physical mockups (Rich, 1989). Our aim is to explore complex relationships found in early and mid stage design phases when digital fabrication is used to produce design outcomes. Results of our investigation will aid architects and engineers in addressing the complications found in the translation of design models embedded with precision to constructible geometries. We present an algorithmically based approach to design rationalization that supports physical production as well as surface production of desktop models. Our approach is an alternative to conventional rapid prototyping that builds objects by assembly of laterally sliced contours from a solid model. We explored an improved product description for rapid manufacture as bilateral contouring for structure and panelling for strength (Kolarevic, 2003). Infrastructure typically found within aerospace, automotive, and shipbuilding industries, bilateral contouring is an organized matrix of horizontal and vertical interlocking ribs evenly distributed along a surface. These structures are monocoque and semi-monocoque assemblies composed of structural ribs and skinning attached by rivets and adhesives. Alternative, bi-lateral contouring discussed is an interlocking matrix of plywood strips having integral joinery for assembly. Unlike traditional methods of building representations through malleable materials for creating tangible objects (Friedman, 2002), this approach constructs with the implication for building life-size solutions. Three algorithms are presented as examples of rationalized design production with physical results. The first algorithm [Figure 1] deconstructs an initial 2D curved form into ribbed slices to be assembled through integral connections constructed as part of the rib solution. The second algorithm [Figure 2] deconstructs curved forms of greater complexity. The algorithm walks along the surface extracting surface information along horizontal and vertical axes saving surface information resulting in a ribbed structure of slight double curvature. The final algorithm [Figure 3] is expressed as plug-in software for Rhino that deconstructs a design to components for assembly as rib structures. The plug-in also translates geometries to a flatten position for 2D fabrication. The software demonstrates the full scope of the research exploration. Studies published by Dodgson argued that innovation technology (IvT) (Dodgson, Gann, Salter, 2004) helped in solving projects like the Guggenheim in Bilbao, the leaning Tower of Pisa in Italy, and the Millennium Bridge in London. Similarly, the method discussed in this paper will aid in solving physical production problems with complex building forms. References Bentley, P.J. (Ed.). Evolutionary Design by Computers. Morgan Kaufman Publishers Inc. San Francisco, CA, 1-73 Celani, G, (2004) “From simple to complex: using AutoCAD to build generative design systems” in: L. Caldas and J. Duarte (org.) Implementations issues in generative design systems. First Intl. Conference on Design Computing and Cognition, July 2004 Dodgson M, Gann D.M., Salter A, (2004), “Impact of Innovation Technology on Engineering Problem Solving: Lessons from High Profile Public Projects,” Industrial Dynamics, Innovation and Development, 2004 Dristas, (2004) “Design Operators.” Thesis. Massachusetts Institute of Technology, Cambridge, MA, 2004 Friedman, M, (2002), Gehry Talks: Architecture + Practice, Universe Publishing, New York, NY, 2002 Kolarevic, B, (2003), Architecture in the Digital Age: Design and Manufacturing, Spon Press, London, UK, 2003 Opas J, Bochnick H, Tuomi J, (1994), “Manufacturability Analysis as a Part of CAD/CAM Integration”, Intelligent Systems in Design and Manufacturing, 261-292 Rudolph S, Alber R, (2002), “An Evolutionary Approach to the Inverse Problem in Rule-Based Design Representations”, Artificial Intelligence in Design ’02, 329-350 Rich M, (1989), Digital Mockup, American Institute of Aeronautics and Astronautics, Reston, VA, 1989 Schön, D., The Reflective Practitioner: How Professional Think in Action. Basic Books. 1983 Shelden, D, (2003), “Digital Surface Representation and the Constructability of Gehry’s Architecture.” Diss. Massachusetts Institute of Technology, Cambridge, MA, 2003 Smithers T, Conkie A, Doheny J, Logan B, Millington K, (1989), “Design as Intelligent Behaviour: An AI in Design Thesis Programme”, Artificial Intelligence in Design, 293-334 Smithers T, (2002), “Synthesis in Designing”, Artificial Intelligence in Design ’02, 3-24 Stiny, G, (1977), “Ice-ray: a note on the generation of Chinese lattice designs” Environmental and Planning B, volume 4, pp. 89-98
keywords	Digital fabrication; bilateral contouring; integral connection; complex-curve
series	SIGRADI
email
last changed	2016/03/10 09:52

_id	f231
authors	Hammond, T.,Gajos, K., Davis, R. and Shrobe, H.
year	2002
title	An Agent-Based System for Capturing and Indexing Software Design Meetings
source	Gero JS and Brazier FMT (eds) (2002) Agents in Design 2002. Key Centre of Design Computing and Cognition, University of Sydney, pp. 203-218
summary	We present an agent-based system for capturing and indexing software design meetings. During these meetings, designers design object-oriented software tools, including new agent-based technologies for the Intelligent Room, by sketching UML-type designs on a white-board. To capture the design meeting history, the Design Meeting Agent requests available audio, video, and screen capture services from the environment and uses them to capture the entire design meeting. However, finding a particular moment of the design history video and audio records can be cumbersome without a proper indexing scheme. To detect, index, and timestamp significant events in the design process, the Tahuti Agent, also started by the Design Meeting Agent, records, recognizes, and understands the UML-type sketches drawn during the meeting. These timestamps can be mapped to particular moments in the captured video and audio, aiding in the retrieval of the captured information. Metaglue, a multiagent system, provides the computational glue necessary to bind the distributed components of the system together. It also provides necessary tools for seamless multi-modal interaction between the varied agents and the users.
series	other
email
last changed	2003/05/10 10:16

_id	937c
authors	I-Kang Li, Andrew
year	2002
title	A prototype interactive simulated shape grammar
doi	https://doi.org/10.52842/conf.ecaade.2002.314
source	Connecting the Real and the Virtual - design e-ducation [20th eCAADe Conference Proceedings / ISBN 0-9541183-0-8] Warsaw (Poland) 18-20 September 2002, pp. 314-317
summary	Existing shape grammar interpreters have implemented some of the distinguishing features of the formalism, notably emergence or rule application under multiple transformations. By contrast, I implement a grammar in which these capabilities either are not required or can be simulated. This frees a user from mechanical issues, allowing him to pay more attention to the process embodied in the grammar.
series	eCAADe
email
last changed	2022/06/07 07:50

_id	8461
authors	Saunders, Rob
year	2002
title	Curious Design Agents and Artificial Creativity - A Synthetic Approach to the Study of Creative Behaviour
source	The University of Sydney, Faculty of Architecture
summary	Creative products are generally recognised as satisfying two requirements: firstly they are useful, and secondly they are novel. Much effort in AI and design computing has been put into developing systems that can recognise the usefulness of the products that they generate. In contrast, the work presented in this thesis has concentrated on developing computational systems that are able to recognise the novelty of their work. The research has shown that when computational systems are given the ability to recognise both the novelty and the usefulness of their products they gain a level of autonomy that opens up new possibilities for the study of creative behaviour in single agents and the emergence of social creativity in multi-agent systems. The work presented in this thesis has developed a model of curiosity in design as the selection of design actions with the goal of generating novel artefacts. Agents that embody this model of curiosity are called “curious design agents”. The behaviour of curious design agents is demonstrated with a range of applications to visual and nonvisual design domains. Visual domains include rectilinear drawings, Spirograph patterns, and “genetic artworks” similar to the work of Karl Sims. Non-visual domains include an illustrative abstract design space useful for visualising the behaviour of curious agents and the design of doorways to accommodate the passage of large crowds. The design methods used in the different domains show that the model of curiosity is applicable to models of designing by direct manipulation, parametric configuration or by using a separate design tool that embodies the generative aspects of the design process. In addition, an approach to developing multi-agent systems with autonomous notions of creativity called artificial creativity is presented. The opportunities for studying social creativity in design are illustrated with an artificial creativity system used to study the emergence of social notions of whom and what are creative in a society of curious design agents. Developing similar artificial creativity systems promises to be a useful synthetic approach to the study of socially situated, creative design.
series	thesis:PhD
email
last changed	2003/05/06 11:33

_id	ascaad2023_035
id	ascaad2023_035
authors	Cheng, Chi-Li ; Nagakura, Takehiko; Tsai, Daniel
year	2023
title	A Synergy of AI Observation and Design Tool: Leveraging Multifaceted AI Techniques for Encoding Human Behaviors and Stories in Space
source	C+++: Computation, Culture, and Context – Proceedings of the 11th International Conference of the Arab Society for Computation in Architecture, Art and Design (ASCAAD), University of Petra, Amman, Jordan [Hybrid Conference] 7-9 November 2023, pp. 502-516.
summary	This paper presents an innovative AI-powered tool aimed at revolutionizing observational methods in architectural design. Its primary objective is to bridge the existing gap between designers and AI predictions, streamlining and enhancing the design process. The tool facilitates the creation of dynamic visualizations that predict human behaviours within 3D design models, adapting seamlessly to design alterations. This prototype showcases the potential for efficient AI-assisted design. The core of our system consists of an AI model that trains on data related to human behavior within environmental contexts. Our user-friendly interface empowers designers to interact dynamically with their 3D modelling tool, akin to playing an interactive chess game. Designers can populate their models with human characters, and the system, in turn, predicts the likely activities of these characters. Observational techniques are pivotal in architectural design, drawing inspiration from influential works such as those by Alexander and Whyte. They provide a comprehensive understanding of how spaces can foster human interaction and help architects, designers, and urban planners make informed decisions that enhance user-friendliness. Nevertheless, two key challenges hinder the effective utilization of this data. Firstly, there is a lack of an intuitive interface that seamlessly integrates with existing tools. Designers often struggle to translate the information into design parameters and interpret the data effectively. Secondly, architects must adapt to evolving living environments and cultural shifts, necessitating real-time observations. However, time constraints and biases impede this process. A solution allowing designers to easily update their data is imperative. Our system comprises three integral components: a pre-trained model adaptable to specific locations, depth prediction and segmentation models for spatial comprehension, and a recognition model for user-designed structures. These features, combined with a user-friendly interface, empower designers to interact intuitively with their models, facilitating more informed and responsive design decisions.
series	ASCAAD
email
last changed	2024/02/13 14:34

_id	0128
authors	Engeli, M., Kurmann, D. and Schmitt, G.
year	1995
title	A New Design Studio: Intelligent Objects and Personal Agents
doi	https://doi.org/10.52842/conf.acadia.1995.155
source	Computing in Design - Enabling, Capturing and Sharing Ideas [ACADIA Conference Proceedings / ISBN 1-880250-04-7] University of Washington (Seattle, Washington / USA) October 19-22, 1995, pp. 155-170
summary	As design processes and products are constantly increasing in complexity, new tools are being developed for the designer to cope with the growing demands. In this paper we describe our research towards a design environment, within which different aspects of design can be combined, elaborated and controlled. New hardware equipment will be combined with recent developments in graphics and artificial intelligence programming to develop appropriate computer based tools and find possible new design techniques. The core of the new design studio comprises intelligent objects in a virtual reality environment that exhibit different behaviours drawn from Artificial Intelligence (AI) and Artificial Life (AL) principles, a part already realised in a tool called 'Sculptor'. The tasks of the architect will focus on preferencing and initiating good tendencies in the development of the design. A first set of software agents, assistants that support the architect in viewing, experiencing and judging the design has also been conceptualised for this virtual design environment. The goal is to create an optimised environment for the designer, where the complexity of the design task can be reduced thanks to the support made available from the machine.
keywords	Architectural Design, Design Process, Virtual Reality, Artificial Intelligence, Personal Agents
series	ACADIA
email
last changed	2022/06/07 07:55

_id	caadria2019_665
id	caadria2019_665
authors	Jin, Jinxi, Han, Li, Chai, Hua, Zhang, Xiao and Yuan, Philip F.
year	2019
title	Digital Design and Construction of Lightweight Steel-Timber Composite Gridshell for Large-Span Roof - A Practice of Steel-timber Composite Gridshell in Venue B for 2018 West Bund World AI Conference
doi	https://doi.org/10.52842/conf.caadria.2019.1.183
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 1, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 183-192
summary	Timber gridshell is an efficient structural system. However, the feature of double curved surface result in limitation of practical application of timber gridshell. Digital technology provides an opportunity to break this limitation and achieve a lightweight free-form gridshell. In the practice of Venue B for 2018 West Bund World AI Conference, architects and structural engineers cooperated to explore innovative design of lightweight steel-timber composite gridshell with the help of digital tools. Setting digital technology as support and restrains of the project as motivation, the design tried to achieve the realization of material, structure, construction and spatial expression. The digital design and construction process will be discussed from four aspects, including form-finding of gridshell surface, steel-timber composite design, digital detailed design and model-based fabrication and construction. We focuses on the use of digital tools in this process, as well as the role of the design subject.
keywords	Timber Gridshell; Steel-timber Composite; Digital Design and Construction; Lightweight Structure; Large-span Roof
series	CAADRIA
email
last changed	2022/06/07 07:52

_id	caadria2005_a_8a_a
id	caadria2005_a_8a_a
authors	Jixi Ai, Shike Li, Gebing Wei
year	2005
title	Digital Method for Landscape Evaluation: Taking The Lesser Three Gorges for example
doi	https://doi.org/10.52842/conf.caadria.2005.363
source	CAADRIA 2005 [Proceedings of the 10th International Conference on Computer Aided Architectural Design Research in Asia / ISBN 89-7141-648-3] New Delhi (India) 28-30 April 2005, vol. 1, pp. 363-375
summary	Landscape in narrow sense means a set of multiple features about topography, landforms, scenery and etc., and it is in accord to general people, especially their visual experience and psychological cognition, and acceptable too by architects and planners. The paper presents a digital method aimed the type of river valley landscape and several key quantitative indexes. The writers have taken the Lesser Three Gorges for an example to evaluate its value in landscape, and shown this method available and useful.
series	CAADRIA
email
last changed	2022/06/07 07:51

_id	acadia20_170
id	acadia20_170
authors	Li, Peiwen; Zhu, Wenbo
year	2020
title	Clustering and Morphological Analysis of Campus Context
doi	https://doi.org/10.52842/conf.acadia.2020.2.170
source	ACADIA 2020: Distributed Proximities / Volume I: Technical Papers [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95213-0]. Online and Global. 24-30 October 2020. edited by B. Slocum, V. Ago, S. Doyle, A. Marcus, M. Yablonina, and M. del Campo. 170-177.
summary	“Figure-ground” is an indispensable and significant part of urban design and urban morphological research, especially for the study of the university, which exists as a unique product of the city development and also develops with the city. In the past few decades, methods adapted by scholars of analyzing the figure-ground relationship of university campuses have gradually turned from qualitative to quantitative. And with the widespread application of AI technology in various disciplines, emerging research tools such as machine learning/deep learning have also been used in the study of urban morphology. On this basis, this paper reports on a potential application of deep clustering and big-data methods for campus morphological analysis. It documents a new framework for compressing the customized diagrammatic images containing a campus and its surrounding city context into integrated feature vectors via a convolutional autoencoder model, and using the compressed feature vectors for clustering and quantitative analysis of campus morphology.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	ecaade2024_161
id	ecaade2024_161
authors	Wang, Yuyang; Li, Xingwu
year	2024
title	The AI’s Cognition of the Cultural Characteristics Underlying Chinese Courtyard Dwelling: A visual perception-based approach for Siheyuan plan classification using machine learning and convolutional neural networks
doi	https://doi.org/10.52842/conf.ecaade.2024.1.643
source	Kontovourkis, O, Phocas, MC and Wurzer, G (eds.), Data-Driven Intelligence - Proceedings of the 42nd Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2024), Nicosia, 11-13 September 2024, Volume 1, pp. 643–652
summary	Siheyuan is a Chinese courtyard dwelling type in which the traditional culture is embedded. From the viewpoint of a spatially determinist understanding of culture, this study identifies the morphological characteristics of Siheyuan in a plan view constrained by Chinese culture. Based on the Visibility Graph Analysis (VGA) of the Siheyuan layouts, this study considers people’s visual perception in Siheyuan courtyards to classify the variants by using machine learning and computer vision techniques. According to the results of a clustering analysis of the feature vectors extracted from VGA maps, the spatial characteristics reflecting cultural connotation in Siheyuan design are captured. The findings could be used to support designing new Siheyuan-style dwellings and Siheyuan heritage preservation.
keywords	Digital Heritage, Siheyuan Classification, Convolutional Neural Network, Visibility Graph Analysis, Clustering Analysis
series	eCAADe
email
last changed	2024/11/17 22:05

_id	acadia23_v2_582
id	acadia23_v2_582
authors	Wu, Kaicong; Li, Chenming; Su, Wenjun
year	2023
title	The Chair Game Experiment: Transforming Multiplayer Design Processes with Text-to-Image Generation and 2D-to-3D Modelling
source	ACADIA 2023: Habits of the Anthropocene: Scarcity and Abundance in a Post-Material Economy [Volume 2: Proceedings of the 43rd Annual Conference for the Association for Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9891764-0-3]. Denver. 26-28 October 2023. edited by A. Crawford, N. Diniz, R. Beckett, J. Vanucchi, M. Swackhamer 582-595.
summary	The urgency for an inclusive architectural design process in conceptualizing the built environment stems from the need to establish effective communication between under- represented groups and design professionals. However, various challenges hinder the development of an inclusive design process that accommodates diverse stakeholders. Individual designers or selective design teams are frequently limited by their own visions, causing them to potentially overlook alternative solutions. Moreover, stakeholders who lack professional training might struggle to articulate their expectations. The emergence of generative AI (artificial intelligence) technologies has significantly reduced the tech- nical barriers in design, and has empowered non-professionals to vividly express their ideas regarding forms and spaces. This has presented a valuable opportunity to better understand the perspectives of underrepresented groups through visual representations. Therefore, this research aims to explore the impact of image generation on the democ- ratization of the design process. Using chair design as a testing ground, we propose an evolutionary computing framework that simulates interactions among designers and participants empowered by emerging AI technologies. To investigate the potential impact of image generation, we have implemented a multiplayer design game to allow computing agents to compete in exploring 3D chair forms. Through this approach, we aim to gain insights into how image generation influences design decisions, whether it generates more diversified solutions, and what values could be introduced into the built environment.
series	ACADIA
type	paper
email
last changed	2024/12/20 09:13

_id	caadria2024_293
id	caadria2024_293
authors	Xu, Weishun, Li, Mingming and Yang, Xuyou
year	2024
title	Can Generative AI Models Count? Finetuning Stable Diffusion for Architecture Image Generation with Designated Floor Numbers Using a Small Dataset
doi	https://doi.org/10.52842/conf.caadria.2024.1.089
source	Nicole Gardner, Christiane M. Herr, Likai Wang, Hirano Toshiki, Sumbul Ahmad Khan (eds.), ACCELERATED DESIGN - Proceedings of the 29th CAADRIA Conference, Singapore, 20-26 April 2024, Volume 1, pp. 89–98
summary	Despite the increasing popularity of off-the-shelf text-to-image generative artificial intelligence models in early-stage architectural design practices, general-purpose models are challenged in domain-specific tasks such as generating buildings with the correct number of floors. We hypothesise that this problem is mainly caused by the lack of floor number information in standard training sets. To overcome the often-dodged problem in creating a text-image pair dataset large enough for finetuning the original model in design research, we propose to use BLIP method for both understanding and generation based automated labelling and captioning with online images. A small dataset of 25,172 text-image pairs created with this method is used to finetune an off-the-shelf Stable Diffusion model for 10 epochs with affordable computing power. Compared to the base model with a less than 20% chance to generate the correct number of floors, the finetuned model has an over 50% overall chance for correct floor number and 87.3% change to control the floor count discrepancy within 1 storey.
keywords	text-to-image generation, model finetuning, stable diffusion, automated labelling
series	CAADRIA
email
last changed	2024/11/17 22:05

_id	cdrf2023_11
id	cdrf2023_11
authors	Yubo Liu, Han Li, Qiaoming Deng, Kai Hu
year	2023
title	Diffusion Probabilistic Model Assisted 3D Form Finding and Design Latent Space Exploration: A Case Study for Taihu Stone Spacial Transformation
doi	https://doi.org/https://doi.org/10.1007/978-981-99-8405-3_2
source	Proceedings of the 2023 DigitalFUTURES The 5st International Conference on Computational Design and Robotic Fabrication (CDRF 2023)
summary	Taihu stone is an important landscape element in Chinese Private Garden on Southern Yangtze river, which is known for its profound cultural and aesthetic significance. In this paper, we intend to introduce the 3D spacial character of Taihu stone into architectural forms and spaces using machine learning, trying to explore the possibilities of AI-assisted 3D form finding and design latent space exploration. Existing spacial transformation of Taihu stone is mainly demonstrated by continuous section slicing, which cannot directly analyze and generate 3D space, thus cannot learn the most characteristic internal space of Taihu stone. This paper used the latest 3D point cloud probabilistic diffusion model to achieve 3D form generation and interpolation of Taihu stone and architectural massing through latent space exploration. Experiments show that a sufficiently trained diffusion model can generate 3D point clouds of Taihu stone and building massing, as well as generate interpolations between them. The latent vector can be manipulated to generate outputs that are more oriented towards the Taihu stone or the building massing, to meet the different needs of designers. Generated point clouds can be reconstructed into triangle meshes or voxelized, as a morphological prototype for further design implementation. Generated forms are capable to provide inspiration and reference for the designers to create free forms, showing the potential of the diffusion model to assist architecture design in conceptual phases.
series	cdrf
email
last changed	2024/05/29 14:04

_id	caadria2024_441
id	caadria2024_441
authors	Zhang, Baizhou, Mo, Yichen, Li, Biao, Wang, Yanyu, Zhang, Chao and Shi, Ji
year	2024
title	SIMForms: A Web-Based Generative Application Fusing Forms, Metrics, and Visuals for Early-Stage Design
doi	https://doi.org/10.52842/conf.caadria.2024.1.373
source	Nicole Gardner, Christiane M. Herr, Likai Wang, Hirano Toshiki, Sumbul Ahmad Khan (eds.), ACCELERATED DESIGN - Proceedings of the 29th CAADRIA Conference, Singapore, 20-26 April 2024, Volume 1, pp. 373–382
summary	At the current moment when digital technology is gradually spreading, various generative design methods and the rapid iteration of AI models have exceeded public expectations. Nevertheless, in the early stages of architectural design, there are still numerous challenges in connecting forms, metrics, and visuals. When facing conceptual design, designers often need to strike a balance between the visual effects of form and quantitative metrics, lacking an efficient tool to quickly control different design choices and obtain comprehensive feedback. To address this issue, this paper introduces SIMForms, a web-based application aimed at fusing architectural forms, quantitative metrics, and visualization. SIMForms integrates rule-based parametric modelling, metric computation and feedback, along with AI-assisted conceptual image generation. Through SIMForms, designers can generate diverse architectural forms with simple operations in the early design stages, obtaining crucial quantitative metrics and conceptual image as feedback. This multi-module integrated application not only provides a more intuitive and efficient tool for the design process but also offers concept innovation and guidance for designers, driving further development in digital design tools.
keywords	early-stage architectural design, web-based application, metrics feedback, rule-based modelling, conceptual image generation
series	CAADRIA
email
last changed	2024/11/17 22:05

_id	ecaade2024_199
id	ecaade2024_199
authors	Zhong, Ximing; Liang, Jiadong; Li, Yingkai
year	2024
title	Building-Agent: A 3D generation agent framework integrating large language models and graph-based 3D generation model
doi	https://doi.org/10.52842/conf.ecaade.2024.2.291
source	Kontovourkis, O, Phocas, MC and Wurzer, G (eds.), Data-Driven Intelligence - Proceedings of the 42nd Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2024), Nicosia, 11-13 September 2024, Volume 2, pp. 291–300
summary	Large language models (LLMs) possess powerful intelligence, demonstrating unprecedented potential in AI-driven architectural design. While LLMs can understand design tasks, they lack the reasoning capability from language to three-dimensional (3D) architectural models. This paper proposes a novel 3D building generative agent framework, Building-Agent, which combines LLMs' decision-making capabilities with Graph Neural Networks (GNNs) generative abilities. Experiments utilize real design briefs and site constraints to test the building agent's task-processing capabilities. The results demonstrate that the Building-Agent can accurately predict different site layout outcomes and achieve high task completion rates. Furthermore, it enables interactive 3D building layout iteration through multi-step natural language instructions. The Building-Agent's ability to comprehend and reason about 3D spatial layouts, based on the graph representations of 3D models in the modeling engine and the requirements of natural language inputs, showcases its potential to accomplish tasks with initial proficiency. Compared to previous 3D generative models that rely on human decision-making for inputting spatial constraints, the Building-Agent paves the way for AI to comprehend and complete 3D design tasks autonomously, promising a transformative impact on AI and architectural design.
keywords	Building-Agent, Large Language Model, Graph Generation Model, Language Comprehending, 3D Spatial Reasoning, 3D Cognitive Ability
series	eCAADe
email
last changed	2024/11/17 22:05

_id	8780
authors	Abdelhameed, W., Ozel, F., Addelatiff, M. and Daef, A.
year	2002
title	Assessment of the Impact of Digital-Manual Media Types on the Basic Design Capabilities of Architects: A Proposed Framework and Directive Measures
source	SIGraDi 2002 - [Proceedings of the 6th Iberoamerican Congress of Digital Graphics] Caracas (Venezuela) 27-29 november 2002, pp. 275-276
summary	The research attempts to defi ne and classify the design capabilities of architects into a basic framework. This defi nition will be useful in understanding and determining the types and nature of impact introduced by digital and manual media used during architecturaldesign process. The research consists of three parts. The First part reviews the main stages, tasks and activities of the architectural design process. The second part builds the proposed framework of design capabilities relating them to the specifi c tasks and activities conductedby the architect along the design process. The third part proposes some useful measures as to how to make use of the proposed framework in assessing the impact of media on the design capabilities of architects.
series	SIGRADI
last changed	2016/03/10 09:47

_id	ddssar0201
id	ddssar0201
authors	Achten, H.H.
year	2002
title	Requirements for Collaborative Design in Architecture
source	Timmermans, Harry (Ed.), Sixth Design and Decision Support Systems in Architecture and Urban Planning - Part one: Architecture Proceedings Avegoor, the Netherlands), 2002
summary	The concept of collaborative design has recently come under renewed attention in the field of computer aided architectural design support. Although collaborative design deals with the same aspects of cooperation by various participants in the design process as previously studiedin, for example, concurrent engineering and multi-disciplinary design, it nevertheless puts a different research emphasis. Collaborative design looks at how the process can be improved in such a way that collaboration –working together in a manner to enhance each participants contribution to the design– emerges from the process. In engineering design practice, thismeans a shift forward in the design process where engineers are asked earlier for their input in the design solution. For CAAD research, the phenomenon of collaborative design poses the question how design tools and environments can be made in such a way that collaboration will occur. In this paper, the aims is to describe the concept of collaborative design in architecture, and to give an outline of the perceived requirements in the organisation of design and Computer Aided Design Support to achieve collaborative design.
series	DDSS
last changed	2003/11/21 15:15

_id	ba50
authors	Achten, Henri and Jessurun, Joran
year	2002
title	An Agent Framework for Recognition of Graphic Units in Drawings
doi	https://doi.org/10.52842/conf.ecaade.2002.246
source	Connecting the Real and the Virtual - design e-ducation [20th eCAADe Conference Proceedings / ISBN 0-9541183-0-8] Warsaw (Poland) 18-20 September 2002, pp. 246-253
summary	Architects use graphic conventions in their drawings that have meaningful content to the design task. In previous work, such well-defined sets of graphic entities have been identified and defined. These sets are called graphic units. In this paper, we discuss how graphic unit recognition in drawings can take place using a multi-agent systems approach. This approach seems promising as singular agents may specialize in graphic unit-recognition, and multi-agent systems can address problems of ambiguity through negotiation mechanisms. We present an agent framework for this purpose, how it connects to the theory of graphic units, and how agents for recognizing graphic units are defined. The paper ends with a discussion of current findings and future work.
series	eCAADe
email
last changed	2022/06/07 07:54

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