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	caadria2003_c3-3
id	caadria2003_c3-3
authors	Lin, Meng-Yian and Kang, Jian
year	2003
title	Adding Instant Acoustic Response to Caad Animation: A Feasibility Study
doi	https://doi.org/10.52842/conf.caadria.2003.475
source	CAADRIA 2003 [Proceedings of the 8th International Conference on Computer Aided Architectural Design Research in Asia / ISBN 974-9584-13-9] Bangkok Thailand 18-20 October 2003, pp. 475-486
summary	Although in recent years presentation using CAAD animation has played an important role in architectural design, it is still weak in terms of acoustic environment simulation. Current acoustic simulation software are mainly for accurately calculating various acoustic indices and the calculation is normally not real-time. This research is therefore to explore the possibilities of adding instant acoustic responses to presentations using CAAD animation.
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	ecaade2013_114
id	ecaade2013_114
authors	Lin, Shih-Hsin Eve and Gerber, David
year	2013
title	Evolutionary Energy Performance Feedback for Design (EEPFD)
doi	https://doi.org/10.52842/conf.ecaade.2013.2.175
source	Stouffs, Rudi and Sariyildiz, Sevil (eds.), Computation and Performance – Proceedings of the 31st eCAADe Conference – Volume 2, Faculty of Architecture, Delft University of Technology, Delft, The Netherlands, 18-20 September 2013, pp. 175-184
summary	In order to understand the applicability of multidisciplinary design optimization (MDO) to the building design process, a MDO framework, titled Evolutionary Energy Performance Feedback for Design (EEPFD), along with the prototype tool, H.D.S. Beagle, were developed to support designers with the incorporation of partially automated performance feedback during the early stages of design. This paper presents 2 experimental case studies, one from the design profession and the other from a design studio, that evaluate the applicability and impact of EEPFD on the early stage design process. Through these two case studies two different interaction and automation approaches for applying EEPFD are explored as part of the framework validation. Observed benefits, challenges and suggestions of EEPFD’s implementation are then presented and discussed.
wos	WOS:000340643600017
keywords	Conceptual energy performance feedback; design decision support; performance-based design; multidisciplinary design optimization; genetic algorithm.
series	eCAADe
email
last changed	2022/06/07 07:59

_id	caadria2024_107
id	caadria2024_107
authors	Lin, Shuiyang and van Ameijde, Jeroen
year	2024
title	Leveraging Social Media and Natural Language Processing for Understanding Cultural Perception in Urban Renewal: Insights From Nantou Walled City
doi	https://doi.org/10.52842/conf.caadria.2024.2.109
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 2, pp. 109–118
summary	The preservation of cultural heritage during urban renewal processes is an issue that is often subservient to economic urban development goals. While physical structures of historic importance might be preserved or adapted, the social and cultural significance of historic urban places is often lost during the comprehensive redevelopment of historic neighbourhoods. The absence of adequate measurements and procedures to assess the cultural and social values of historic districts remains a key concern in urban renewal practice. Recent advances in Big Data analysis of social media posts through Machine Learning-based Natural Language Processing (NLP) tools offer ways to quantify the social and cultural perception of historic urban districts and guide culturally sensitive strategies for revitalization. This research presents a novel workflow to analyse text data from social media platforms. Referencing recently developed methods for multidimensional text mining and sentiment analysis, it obtains online text data by identifying the keywords on the Weibo platform and applies BERTopic to construct a quantitative assessment of cultural perceptions by identifying the topics and sentiments about a historic district. Sentiment analysis tools were used to measure emotional polarity in posts to understand social media users' subjective views towards various urban places. Using the case study of Nantou Walled City in Shenzhen, a comparative examination of social media engagement before and after district renewal sheds light on the interplay between social media participation and historic district characteristics. The method presented in this study enables future studies and practices in urban planning and cultural heritage conservation which adopt a comprehensive consideration of resident and community perspectives in urban renewal, to achieve more holistic and sustainable urban development. 08641080
keywords	Natural language processing, social media data analysis, cultural heritage, sentiment analysis, BERTopic
series	CAADRIA
email
last changed	2024/11/17 22:05

_id	caadria2019_403
id	caadria2019_403
authors	Lin, Xuhui and Muslimin, Rizal
year	2019
title	RESHAPE - Rapid forming and simulation system using unmanned aerial vehicles for architectural representation
doi	https://doi.org/10.52842/conf.caadria.2019.1.413
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. 413-422
summary	As digital technology advances, multiple ways of repre-senting objects interactively in space, architects and designers begin to use Virtual Reality (VR) and Immersive Digital Environ-ments (IDE) to communicate their ideas. However, these technolo-gies are bounded with their spatial limitations. In responding to this issue, our paper introduces ReShape, a digital-physical spatial representation system supported by Unmanned Aerial Vehicle (UAV) swarm technology that allows a user to project their unbuilt design and interact with them in real space, unattached by headset, fixed cameras or screen. ReShape can be controlled by user orien-tation and gesture as an input, where the real-time feedback is provided by UAV spatial arrangement in space, augmented by computational simulation. Spatial data is transmitted between the UAV agents for the user to experience the digital model, creating a versatile and computationally efficient platform to edit and en-hance the design in real-space. This paper outlines four systems in ReShape, i.e., (1) detection system to identify and locate the user position and orientation; (2) task-arrangement system to provide spatial information to the UAV agents; (3) UAV's communicating system to control the UAV position and task in space; and (4) Physical-Digital forming system, to project digital simulation by the UAV agents.
keywords	UAV system; Spatial representation; a detecting sys-tem; human-computation interaction
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	caadria2012_041
id	caadria2012_041
authors	Lin, Yifeng and Shanshan Shen
year	2012
title	Designing a performance-oriented house envelope based on a parametric approach: An integrated method
doi	https://doi.org/10.52842/conf.caadria.2012.507
source	Proceedings of the 17th International Conference on Computer Aided Architectural Design Research in Asia / Chennai 25-28 April 2012, pp. 507–516
summary	Conventional house envelope design methods often generate few alternatives related to meeting living comfort and building environmental requirements. However, these design methods are increasingly facing difficulties in following the dynamic climate change and advanced building performance conditions in the early stage of the design process. This paper attempts to introduce an integrated method for designing a performance-orientated house envelope in New Zealand which adopts the parametric approach. This approach can guide and assist designers to make a well-informed decision, which can satisfy both aesthetics and energy performance, and gain more efficiency for the design process in the early stage of housing performance simulation.
keywords	Performance-oriented house envelope design; integrated parametric design; dynamic approach
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	caadria2024_438
id	caadria2024_438
authors	Lin, Ying and Ye, Fei
year	2024
title	Architectural Generative Model Evaluation Methods: Image Quality Assessment Metrics and Expert-Based Approach
doi	https://doi.org/10.52842/conf.caadria.2024.1.079
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. 79–88
summary	The feasibility of using machine learning methods to generative architectural design solutions has been widely recognized as an effective in enhancing innovation, diversity, and efficiency of solutions. However, in generative design methods, the accuracy and quality of design results often rely on empirical evaluation of expert, which is challenging to evaluate and quantify by unified standards. This paper proposes a comprehensive method for evaluating model performance in architectural design tasks. The evaluation is based on computational criteria (i.e., FID, IS, SIMM indicators) and expert system criteria. The computational metrics will measure the distance, diversity, and similarity between the feature vectors of the real image and the generated image. In contrast, the expert criteria will measure the accuracy, intentionality, and rationality of the layout scheme. This study applies this framework to evaluate three widely used generative models in architectural design: GANs, Diffusion Models, and VAE. The framework also guides the optimization of generative models in architectural applications and assists architects in validating generative outcomes with more efficient workflows.
keywords	Artificial Intelligence, Architectural, Generative Design Methods, Model Evaluation
series	CAADRIA
email
last changed	2024/11/17 22:05

_id	1409
authors	Lin, Ying-Tzu and Chiu, Mao-Lin
year	2001
title	Digital cinematheque:Designing the virtual environment with issues of the context and atmoshere
doi	https://doi.org/10.52842/conf.caadria.2001.051
source	CAADRIA 2001 [Proceedings of the Sixth Conference on Computer Aided Architectural Design Research in Asia / ISBN 1-86487-096-6] Sydney 19-21 April 2001, pp. 51-61
summary	The rise of virtual environments (VEs) is made possible due to the recent rapid development of the Internet and virtual reality (VR) technologies. The purpose of this study is to explore the possibilities of the virtual environment design by examining the characteristics of VE, and comparing its differences from physical environments. In the illustration of a design project "digital cinematheque", the context and atmosphere of virtual environments are thoroughly studied, and the feasibilities and directions of developments of virtual environments are subsequently enlightened with the proposed design concepts and related issues.
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	ecaade2022_324
id	ecaade2022_324
authors	Lin, Yu-Ting and Hsu, Pei-Hsien
year	2022
title	Dynamic Inflatable Structures and Digital Fabrication Process
doi	https://doi.org/10.52842/conf.ecaade.2022.1.311
source	Pak, B, Wurzer, G and Stouffs, R (eds.), Co-creating the Future: Inclusion in and through Design - Proceedings of the 40th Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2022) - Volume 1, Ghent, 13-16 September 2022, pp. 311–320
summary	Inflatable structures made of flat film materials have an advantage of low cost, lightweight and rapid deployment, but the variation of their forms is relatively limited, and it is a challenge to produce pneumatic deformations. This paper proposes a designing and manufacturing process of inflatable structures which are made of flat film materials and are able to perform dynamic movements. The process includes steps in which a target 3D surface is produced through programmed 2D paths heat-sealed on flat films of different thickness, leading to a structure composed of air chambers. A parametric modelling procedure and associated principles are developed for the relationship between the forms of a flat-film-based inflatable structure and the heat sealing patterns on the film. A system of double-layer air chambers was designed to control the direction of bending movements. In addition, the form variation of a designed inflatable structure can be achieved by a parametric design process described in this paper.
keywords	Pneumatic Structural System, Inflatable Structure, Digital Fabrication, Design Tool, Kinetic Structure
series	eCAADe
email
last changed	2024/04/22 07:10

_id	caadria2018_018
id	caadria2018_018
authors	Lin, Yuming and Huang, Weixin
year	2018
title	Social Behavior Analysis in Innovation Incubator Based on Wi-Fi Data - A Case Study on Yan Jing Lane Community
doi	https://doi.org/10.52842/conf.caadria.2018.2.197
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 2, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 197-206
summary	Innovation incubator is an emerging kind of office space which focuses on promoting social interaction in the space. From the perspective of environmental behavior, the complex relationship between a particular space form and the social interactions is well worth exploring. Based on Wi-Fi positioning data, this paper examined the spatial and temporal behavior in innovation incubators. Using the interdisciplinary social networks analysis, this paper further analyzed the social interactions in this space, mining out social structures such as gathering and community, and analyzing the relationship between these structures and spaces. The result shows that human behavior in innovation incubators has some interesting characteristics, and the social structures are closely linked with the functional area of innovation incubator. This paper provides a new perspective and introduces interdisciplinary approaches to study the social behaviors in a particular space form, which has great potential in future research.
keywords	environmental behavior study; social behavior analysis; innovation incubator; Wi-Fi IPS; social network
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	acadia17_366
id	acadia17_366
authors	Lin, Yuming; Huang, Weixin
year	2017
title	Behavior Analysis and Individual Labeling Using Data from Wi-Fi IPS
doi	https://doi.org/10.52842/conf.acadia.2017.366
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. 366- 373
summary	It is fairly important for architects and urban designers to understand how different people interact with the environment. However, traditional investigation methods for studying environmental behavior are quite limited in their coverage of samples and regions, which are not sufficient to delve into the behavioral differences of people. Only recently, the development of indoor positioning systems (IPS) and data-mining techniques has made it possible to collect full-time, full-coverage data for behavioral difference research and individualized identification. In our research, the Wi-Fi IPS system is chosen among the various IPS systems as the data source due to its extensive applicability and acceptable cost. In this paper, we analyzed a 60-day anonymized dataset from a ski resort, collected by a Wi-Fi IPS system with 110 Wi-Fi access points. Combining this with mobile phone data and questionnaires, we revealed some interesting characteristics of tourists from different origins through spatial-temporal behavioral data, and further conducted individual labeling through supervised learning. Through this case study, temporal-spatial behavioral data from an IPS system exhibited great potential in revealing individual characteristics besides exploring group differences, shedding light on the prospect of architectural space personalization.
keywords	design methods; information processing; data mining; big data
series	ACADIA
email
last changed	2022/06/07 07:59

_id	caadria2019_449
id	caadria2019_449
authors	Lin, Yuqiong, Yao, Jiawei, Huang, Chenyu and Yuan, Philip F.
year	2019
title	The Future of Environmental Performance Architectural Design Based on Human-Computer Interaction - Prediction Generation Based on Physical Wind Tunnel and Neural Network Algorithms
doi	https://doi.org/10.52842/conf.caadria.2019.2.633
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 2, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 633-642
summary	As the medium of the environment, a building's environment performance-based generative design cannot be separated from intelligent data processing. Sustainable building design should seek an optimized form of environmental performance through a complete set of intelligent induction, autonomous analysis and feedback systems. This paper analyzed the trends in architectural design development in the era of algorithms and data and the status quo of building generative design based on environmental performance, as well as highlighting the importance of physical experiments. Furthermore, a design method for self-generating environmental performance of urban high-rise buildings by applying artificial intelligence neural network algorithms to a customized physical wind tunnel is proposed, which mainly includes a morphology parameter control and environmental data acquisition system, code translation of environmental evaluation rules and architecture of a neural network algorithm model. The design-oriented intelligent prediction can be generated directly from the target environmental requirements to the architectural forms.
keywords	Physical wind tunnel; neural network algorithms; dynamic model; environmental performance; building morphology self-generation
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	caadria2018_210
id	caadria2018_210
authors	Lin, Yuqiong, Zheng, Jingyun, Yao, Jiawei and Yuan, Philip F.
year	2018
title	Research on Physical Wind Tunnel and Dynamic Model Based Building Morphology Generation Method
doi	https://doi.org/10.52842/conf.caadria.2018.2.165
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 2, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 165-174
summary	The change of the building morphology directly affects the surrounding environment, while the evaluation of these environment data becomes the main basis for the genetic iterations of the building morphology. Indeed, due to the complexity of the outdoor natural ventilation, multiple factors in the site could be the main reasons for the change of air flow. Thus, the architect is suggested to take the wind environment as the main morphology generation factor in the early stage of the building design. Based on the research results of 2017 DigitalFUTURE Wind Tunnel Visualization Workshop, a novel self-form-finding method in design infancy has been proposed. This method uses Arduino to carry out the dynamic design of the building model, which can not only connect the sensor to monitor the wind environment data, but also contribute the building model to correlate with the wind environment data in real time. The integration of the Arduino platform and the physical wind tunnel can create the possibility of continuous and real-time physical changes, data collection and wind environment simulation, using quantitative environmental factors to control building morphology, and finally achieve the harmony among the building, environment and human.
keywords	Physical wind tunnel; dynamic model; building morphology generation; environmental performance design; wind environment visualization
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	cf2019_025
id	cf2019_025
authors	Lin, Yuqiong; Chenyu Huang ,Yuqiong Lin and Philip F. Yuan
year	2019
title	High-rise Building Group Morphology Generation Approach based on Wind Environmental Performance
source	Ji-Hyun Lee (Eds.) "Hello, Culture!" [18th International Conference, CAAD Futures 2019, Proceedings / ISBN 978-89-89453-05-5] Daejeon, Korea, p. 185
summary	In the urbanization process, high-rise is favored and popularized? while results to the high-density urban space which aggravated the deterioration of urban wind environment. Using quantifiable environmental factors to control the building, is promoting a more meaningful group formation of the sustainable high-rise buildings. Thus, taking wind performance into account in high-rise design infancy is essential. According to the achievement of CAADRIA2018 “SELF-FORM-FINDING WIND TUNNEL TO ENVIRONMENTAL-PERFORMANCE URBAN AND BUILDING DESIGN” workshop, a preliminary set related to the environmental performance urban morphology generation system and method was constructed. In this study, various of high-rise building forms that might be conducive to urban ventilation were selected, such as “hollow-out”, “twisting”, “façade retracting” and “liftup”, to design the Dynamic Model System with multi-dimensional motion.
keywords	High-rise, group morphology, wind tunnel, dynamic models, environmental performance
series	CAAD Futures
email
last changed	2019/07/29 14:15

_id	caadria2022_120
id	caadria2022_120
authors	Lin, Yuxin
year	2022
title	Rhetoric, Writing, and Anexact Architecture: The Experiment of Natural Language Processing (NLP) and Computer Vision (CV) in Architectural Design
doi	https://doi.org/10.52842/conf.caadria.2022.1.343
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 343-352
summary	This paper presents a novel language-driven and artificial intelligence-based architectural design method. This new method demonstrates the ability of neural networks to integrate the language of form through written texts and has the potential to interpret the texts into sustainable architecture under the topic of the coexistence between technologies and humans. The research merges natural language processing, computer vision, and human-machine interaction into a machine learning-to-design workflow. This article encompasses the following topics: 1) an experiment of rethinking writing in architecture through anexact form as rhetoric; 2) an integrative machine learning design method incorporating Generative Pre-trained Transformer 2 model and Attentional Generative Adversarial Networks for sustainable architectural production with unique spatial feeling; 3) a human-machine interaction framework for model generation and detailed design. The whole process is from inexact to exact, then finally anexact, and the key result is a proof-of-concept project: Anexact Building, a mixed-use building that promotes sustainability and multifunctionality under the theme of post-carbon. This paper is of value to the discipline since it applies current and up-to-date digital tools research into a practical project.
keywords	Rhetoric and writing, Natural Language Processing, Computer Vision, GPT-2, AttnGAN, Human-computer Interaction, Architectural Design, Post-carbon, SDG3, SDG11
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	caadria2023_192
id	caadria2023_192
authors	Lin, Zhichao, Yin, Shi, Liao, Wei and Xiao, Yiqiang
year	2023
title	Genetic Algorithm-Based Building Geometric Opening Configurations Optimization for Enhancing Ventilation Performance in the High-Density Urban District
doi	https://doi.org/10.52842/conf.caadria.2023.1.251
source	Immanuel Koh, Dagmar Reinhardt, Mohammed Makki, Mona Khakhar, Nic Bao (eds.), HUMAN-CENTRIC - Proceedings of the 28th CAADRIA Conference, Ahmedabad, 18-24 March 2023, pp. 251–260
summary	The quality of the outdoor environment relates to urban ventilation performance. Poor wind conditions in high-density urban districts may lead to severe air pollution and deteriorate outdoor thermal comfort. The increase of openings in building geometry is one of the effective passive design strategies for enhancing the porosity of urban morphology and benefitting urban ventilation. However, the outdoor wind environment correlates with the opening configurations of building geometry complicatedly. For seeking the optimal opening configurations, a decision support tool is urgently needed. Our study proposes a genetic algorithm-based optimization workflow for the opening configurations of building geometry design by integrating Computational Fluid Dynamics simulation and parametric design. A residential block in Shenzhen, China is chosen as an example to show this workflow. The results demonstrate that when the porosity is 15%, the pedestrian-level mean wind speed, the wind speed dispersion, and the pressure difference between the front and rear of the downstream building can be optimized by 20.00%, 19.35%, and 183.33% on maximum. When the porosity is increased to 30%, these values are 42.22%, 16.13%, and 483.33%. The resultant opening distribution probability maps can support building design at an early stage to achieve a comfortable urban environment.
keywords	Urban Ventilation, Building Openings, Building Porosity, Genetic Algorithm Optimization, Computational Fluid Dynamics
series	CAADRIA
email
last changed	2023/06/15 23:14

_id	sigradi2015_10.250
id	sigradi2015_10.250
authors	Linardi, Ana Beatriz; Ramos, Fernando da Silva; Garotti, Flavio Valverde; Damiani, Vitor
year	2015
title	3D printing as support for arts education for the visually impaired
source	SIGRADI 2015 [Proceedings of the 19th Conference of the Iberoamerican Society of Digital Graphics - vol. 2 - ISBN: 978-85-8039-133-6] Florianópolis, SC, Brasil 23-27 November 2015, pp. 564-568.
summary	This article discusses some methodologies in art education in schools and educational activities in museums. It focuses on accessibility and in the visually impaired rights to access and improve the experiences and repertoire in artistic languages, recognizing the use of new technologies in the field of digital manufacturing as valuable resources for the production of teaching materials with the use of cheaper and accessible technology, which expands the access to cultural institutions and education. Considering that most of the museums art works are not to be touched, 3D printing reproductions in durable low cost plastic present as an alternative for tactile experience. In addition, the photogrammetric 3D scanning process and digital editing allow for the creation of isolated parts and materials originated from the art piece, broadening the pedagogical possibilities of art educators. The production of didactic material for arts teaching, with the use of 3D printed copies (edited or not) originated from 3D scans, may help revealing a more subtle and sophisticated aspect of artistic narrative to the public and the visually impaired.
keywords	Education, Art, 3D Scan, 3D Printing
series	SIGRADI
email
last changed	2016/03/10 09:55

_id	ddss2006-pb-153
id	DDSS2006-PB-153
authors	Linda Ma, Theo Arentze, Aloys Borgers, and Harry Timmermans
year	2006
title	A Multi-Agent Model for Generating Local Land-Use Plans in the Context of an Urban Planning Support System
source	Van Leeuwen, J.P. and H.J.P. Timmermans (eds.) 2006, Progress in Design & Decision Support Systems in Architecture and Urban Planning, Eindhoven: Eindhoven University of Technology, ISBN-10: 90-386-1756-9, ISBN-13: 978-90-386-1756-5, p. 153-168
summary	In a multi-player urban planning process, the outcome of any individual decision of the actors is uncertain until a state where the plan is satisfactory for all. To support the plan generation phase, this paper develops a generic multi-agent system, in which agents represent particular land-uses. In the system, agents higher in the hierarchy have priority over agents lower in the hierarchy to claim units of land. This one-direction claim process may result in a plan that is not optimal for every agent. The system, therefore, allows agents to revise their plans in an iterative procedure. A case study illustrates centralized, semi-centralized and decentralized solutions for a plan area based on the outcomes of different strategies used by facility agents (retail, green, schools) and a housing agent. The results show that the proposed system is able to generate rational and realistic plan alternatives for new residential areas.
keywords	Multi-agent system, Planning support system, Plan alternative, Land use planning
series	DDSS
last changed	2006/08/29 12:55

_id	ddss2004_d-209
id	ddss2004_d-209
authors	Lindekens, J. and A. Heylighen
year	2004
title	Re-Using Re-Design Knowledge
source	Van Leeuwen, J.P. and H.J.P. Timmermans (eds.) Developments in Design & Decision Support Systems in Architecture and Urban Planning, Eindhoven: Eindhoven University of Technology, ISBN 90-6814-155-4, p. 209-224
summary	Addressing the issue of building re-use, this paper reports on the development of a re-design tool, which aims at helping students and novices (and even experienced architects) in understanding design decisions that have steered existing re-design projects. Furthermore the tool tries to support designers in using this understanding in their own design projects. The paper starts by situating the re-design tool within the overall research setup, and continues by motivating the observations that have led to developing this tool. The core of the paper describes the re-design tool itself and illustrates it with a concrete example. Finally, the tool is framed within the wider context of (architectural) design research, so as to explore where the tool accords or collides with generally accepted design theories.
keywords	Design Process, Design Method, Design Strategy, Re-Design, Design Tool
series	DDSS
last changed	2004/07/03 22:13

_id	ddss2004_ra-263
id	ddss2004_ra-263
authors	Lindekens, J.
year	2004
title	REDUCTION MECHANISMS EXPLORED IN ARCHITECTURAL RE-DESIGN
source	Van Leeuwen, J.P. and H.J.P. Timmermans (eds.) Recent Advances in Design & Decision Support Systems in Architecture and Urban Planning, Dordrecht: Kluwer Academic Publishers, ISBN: 1-4020-2408-8, p. 263-278
summary	Observation of the design process of an architect shows that, while building up an argumentation for taking a design decision, different mechanisms of data transformation are used. The paper argues that this transformation is a key element in understanding architectural design processes. A theoretical description of these mechanisms forms the framework to discus a sequence of design decisions derived from a real-world design situation. After outlining how this can be implemented in a case-based design supporting tool, the paper concludes with a discussion of advantages and downsides the use of the tool might entail.
keywords	Architectural Re-Design, Design Process, Case-Based Design, Reduction Mechanisms
series	DDSS
type	normal paper
last changed	2004/07/03 23:20

_id	acadia10_282
id	acadia10_282
authors	Linder, Mark
year	2010
title	Literal Digital
doi	https://doi.org/10.52842/conf.acadia.2010.282
source	ACADIA 10: LIFE in:formation, On Responsive Information and Variations in Architecture [Proceedings of the 30th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-1-4507-3471-4] New York 21-24 October, 2010), pp. 282-285
series	ACADIA
type	panel paper
email
last changed	2022/06/07 07:59

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