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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Reformat results as: short short into frame detailed detailed into frame

_id	ecaade2021_223
id	ecaade2021_223
authors	Liu, Jie
year	2021
title	From Physiology to Architecture - The methodology for interactive architecture behavior design
doi	https://doi.org/10.52842/conf.ecaade.2021.1.195
source	Stojakovic, V and Tepavcevic, B (eds.), Towards a new, configurable architecture - Proceedings of the 39th eCAADe Conference - Volume 1, University of Novi Sad, Novi Sad, Serbia, 8-10 September 2021, pp. 195-204
summary	Interactive architectural design is a booming topic in current architectural research, which requires thinking about how to realize buildings provide various spatial services according to users' needs. In the human-building interaction (HBI) design, the architectural behavior design plays as one of the most relevant and essential parts of architectural space design. HBI design requires the establishment of a standard behavioral language system for architecture and people. Therefore, this paper proposes that the design of architectural behavior can mimic human behavior at the physiological level, thus making it easier for people to understand the behavior of architecture. The paper systematically analyzes the design methods and design routes to build muscular and glandular systems for architecture through some case studies.
keywords	interactive architecture; human-building interaction; design methodology
series	eCAADe
email
last changed	2022/06/07 07:59

_id	ijac202119103
id	ijac202119103
authors	Liu, Jingyang; Yi-Chin Lee, and Daniel Cardoso Llach
year	2021
title	Computational design and fabrication of highly customizable architectural space frames: Making a flat-cut Weaire-Phelan structure
source	International Journal of Architectural Computing 2021, Vol. 19 - no. 1, 37–49
summary	This paper documents a computational approach to the design, fabrication, and assembly of customizable space structures built entirely out of flat-cut interlocking elements without the need of nodes, fasteners, cement, or glue. Following a Research by Design (RbD) methodology, we establish a framework comprising geometric and parametric modeling, structural analysis, and digital fabrication stages to examine the following research question: how might the modularity of a construction kit be combined with the plasticity of parametric descriptions to facilitate the design and fabrication of flat-cut space structures? We find that an adaptive joint design that resolves local deformations at the node and element levels can facilitate the construction of flat-cut space structures by making modular components responsive to local geometric, material, and mechanical demands. The research centers on the design and construction of an architecture-scale installation based on the Weaire-Phelan structure—an aperiodic space-filling geometric structure that approximates the geometry of foam—entirely out of flat-cut interlocking elements. Documenting the process in technical detail, as well as some limitations, the paper contributes to recent efforts to develop digital materials suitable for architectural applications. In addition, it contributes to extend the formal and architectural possibilities of flat-cut space structure design by facilitating “bottom-up” design explorations in concert with the structure’s tectonic resolution.
keywords	Computational design, generative fabrication, construction kit
series	journal
email
last changed	2021/06/03 23:29

_id	caadria2023_114
id	caadria2023_114
authors	Liu, Mengxuan, Yang, Chunxia and Fan, Zhaoxiang
year	2023
title	Behaviour Simulation Optimization Based on the Influence of Microclimate on Crowd Perception – A Case Study of Urban Waterfront Public Space
doi	https://doi.org/10.52842/conf.caadria.2023.2.019
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. 19–28
summary	The outdoor behaviour is usually influenced by space and environment. Previous studies on behaviour simulation of outdoor space always focused on the influence of two-dimensional space, but did not take the microclimate perceived into account. However, the microclimate of outdoor public spaces has a strong influence on the activities, which makes the subsequent behaviour simulation results unable to fit well with the reality. Therefore, this research attempts to integrate the influence of space and microclimate perception of crowd into behaviour simulation system. Firstly, we explored the laws of behaviour in terms of seasons, weekdays/weekends, and time slices. Secondly, the multiple linear regression equations of the influence of space and microclimate on behaviour were established. In addition, combining the laws and models with the social force model, a behaviour simulation model in public space under the joint influence of microclimate and space was established. Finally, a comprehensive workflow combining microclimate simulation and behaviour simulation was proposed. The research promoted the application and development of behaviour simulation technology from strong-purpose behaviours to weak-purpose and non-purpose behaviours. Moreover, starting from human behaviour and perception, it provides support for the optimization of urban public space from the bottom up.
keywords	Behaviour Simulation, Microclimate Perception, Outdoor Activities, Public Space
series	CAADRIA
email
last changed	2023/06/15 23:14

_id	caadria2024_382
id	caadria2024_382
authors	Liu, Mengxuan, Yang, Chunxia and Fan, Zhaoxiang
year	2024
title	Prediction, Simulation and Evaluation of Stay Behavior in Public Space Integrated With Microclimate
doi	https://doi.org/10.52842/conf.caadria.2024.2.129
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. 129–138
summary	As "users", individuals directly influence the use of space through their choices and decisions, ultimately determining the vitality of the space. Among these behaviours, stay behaviour significantly contributes to the dominance of space vitality due to its longer occupancy. Therefore, this study focuses on the stay behaviour in public spaces, with a specific emphasis on the choice and decision-making related to seating facilities. The study introduces a neural network model to analyse the influence weights of space and microclimate factors on the preferences of individuals. These weights are then integrated into a social force model to achieve the simulation and visualization of stay behaviour in public spaces. Building upon the results of behaviour simulation, the study evaluates the current utilization of seating facilities in existing public spaces. The original contribution of this study proposes a comprehensive workflow for the simulation of stay behaviour, encompassing "model construction - visualization - evaluation analysis - optimization." The aim is to provide insights for the quantitative analysis and rapid design of urban spatial environments.
keywords	Public Space Analysis, Outdoor Activities, Behaviour simulation, Behaviour Prediction, Microclimate Perception
series	CAADRIA
email
last changed	2024/11/17 22:05

_id	caadria2022_238
id	caadria2022_238
authors	Liu, Nuozhi and Koh, Immanuel
year	2022
title	Machine-Reading Places & Spaces: Generative Probabilistic Modelling of Urban Thematic Zones & Contexts
doi	https://doi.org/10.52842/conf.caadria.2022.1.465
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. 465-474
summary	In this paper, a "place" is conceptualised as a composition of dynamic socioeconomic activities and collective perceptions. We apply generative probabilistic modelling to explore urban contextual semantics. By analogy to sorting documents into different topics, this research retrieves data embedding for each urban regions and classify them with thematic zones. Using Singapore as a case study, topic modelling is applied to retrieve perceptual and functional thematic zones from Instagram and TripAdvisor respectively. A subsequent analysis shows strong correlations among certain regions with functional and perceptual consistency. In addition, with our proposed uniqueness and diversity indices, a strong negative correlation at 0.82 is found, suggesting that a region could be more unique if the functions tend to be dominated by certain types of functional and perceptual thematic zones.
keywords	Machine Learning, Natural Language Processing, Generative Probabilistic Models, Urban Data Modelling, Thematic Zones, Topic Modelling, SDG 11
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	caadria2019_270
id	caadria2019_270
authors	Liu, Quan, Li, Xintian, Mao, Ming, Gu, Mengjie and Ye, Qingfeng
year	2019
title	The Study on the Relationship between Storm Surface Runoff and the Form of Street-Block using the Cellular Automata Model
doi	https://doi.org/10.52842/conf.caadria.2019.1.331
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. 331-340
summary	This paper focuses on the reduction of storm surface runoff through optimizing the layout of permeable green area and other morphological elements of the urban street-block, and a distributed hydrological model based on cellular automata (CA) are used to accurately distinguish the impact of storm runoff reduction of various blocks, accordingly helping to find the morphological principle of surface runoff optimization. The model includes morphological setting and hydrological setting. The morphological setting includes the shape and size, land cover, and slope of street-block. The hydrological setting is based on Nanjing, China and include the process of rainfall, infiltration, surface flow, out flow. Comparing the results of runoff indicators, it can be found that the runoff can be greatly influenced by the layout of morphological elements of street-block. Therefore, it can be reduced by optimization the form of street-block in design process.
keywords	urban form; street-block; building fabric; storm surface runoff; cellular automata
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	ga0226
id	ga0226
authors	Liu, X., Frazer, Jh. and Tang, M.X.
year	2002
title	A generative design system based on evolutionary and mathematical functions
source	International Conference on Generative Art
summary	Previous work by Professor John Frazer on Evolutionary Architecture provides a basis for the development of a system evolving architectural envelopes in a generic and abstract manner. Recent research by the authors has focused on the implementation of a virtual environment for the automatic generation and exploration of complex forms and architectural envelopes based on solid modelling techniques and the integration of evolutionary algorithms, enhanced computational and mathematical models. Abstract data types are introduced for genotypes in a genetic algorithm order to develop complex models using generative and evolutionary computing techniques. Multi-objective optimisation techniques are employed for defining the fitness function in the evaluation process.
series	other
email
more	http://www.generativeart.com/
last changed	2003/08/07 17:25

_id	caadria2022_464
id	caadria2022_464
authors	Liu, Xinyu and van Ameijde, Jeroen
year	2022
title	Data-driven Research on Street Environmental Qualities and Vitality Using GIS Mapping and Machine Learning, a Case Study of Ma On Shan, Hong Kong
doi	https://doi.org/10.52842/conf.caadria.2022.1.485
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. 485-494
summary	In a post-carbon framework, data-driven methods can be used to assess the environmental quality and sustainability of urban streetscape. Streets are an important part of people's daily lives and provide places for social interaction. Therefore, in this study, the relationship between street quality and street vibrancy is measured using the new town of Ma On Shan, Hong Kong as a study area. Firstly, machine learning was used to identify the physical features of streets through geographic information collection and streetscape image acquisition. Secondly, previous measurement algorithms are combined to calculate the greenness, walkability, safety, imageability, enclosure, and complexity of streets. Thirdly, secondary calculations and visualisations were carried out on a Geographic Information System (GIS) platform to observe the current distribution of street qualities. Finally, the relationship between street quality and vibrancy was analysed using SPSS statistical analysis software. The results show that walkability has a positive effect on street vitality, whereas safety and complexity have a negative effect on street vitality. This study demonstrates how the quantitative assessment of urban street environments can be used as a reference for building a green, low-carbon, healthy, and walkable city.
keywords	Street Quality, Geographic Information Systems, Machine Learning, Image Segmentation, SDG 11
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	ecaade2022_42
id	ecaade2022_42
authors	Liu, Xuehan, Wang, Likai and Ji, Guohua
year	2022
title	Optimization Approaches in Performance-Based Architectural Design - A comparison study
doi	https://doi.org/10.52842/conf.ecaade.2022.1.599
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. 599–608
summary	Over the past decade, computational design optimization has been increasingly applied to the studies related to early-stage architectural design exploration and information extraction, in which various optimization approaches have been adopted such as single- objective optimization (SOO) and multi-objective optimization (MOO). Despite this, the impact of optimization approaches on information extraction has been relatively under- researched. In this regard, this paper presents a comparison study of different optimization approaches, with a special focus on search efficiency and information extraction. In the comparison study, we investigate the impact of different optimization approaches on information extraction and design cognition and finally, discuss the utility of these approaches to architectural design ideation and synthesis.
keywords	Computational Design, Design Optimization, Design Exploration, Performance-based Design, Early-stage Architectural Design
series	eCAADe
email
last changed	2024/04/22 07:10

_id	e8aa
authors	Liu, Y., Tsou, J. and Hou, J. (Eds.)
year	1997
title	CAADRIA ‘97 [Conference Proceedings]
doi	https://doi.org/10.52842/conf.caadria.1997.x.o3m
source	Proceedings of the Second Conference on Computer Aided Architectural Design Research in Asia / ISBN 957-575-057-8 / Taiwan 17-19 April 1997, 498 p.
series	CAADRIA
email
more	http://www.iaa.nctu.edu.tw/~caadria97/
last changed	2022/06/07 07:49

_id	5df9
authors	Liu, Y.-T., Chang, Y.-Y. and Wong, C.-H.
year	2001
title	Someone Somewhere Some Time in the Middle of Nowhere: Some Observations of Spatial Sense Formation in the Internet
doi	https://doi.org/10.52842/conf.ecaade.2001.037
source	Architectural Information Management [19th eCAADe Conference Proceedings / ISBN 0-9523687-8-1] Helsinki (Finland) 29-31 August 2001, pp. 37-41
summary	Following a previous study which investigated the verbal and visual elements of cyberspace, this study examines the relationship different academic training and the perceptions of the verbal and visual elements found in the previous study. The results of this study seems to indicate that the perception of the verbal elements is not relative to the subject’s academic training while the perception of the visual elements is.
keywords	Keywords. Theory Of Space, Virtual Reality, Virtual Space, Web-Based Design, Visual Perception
series	eCAADe
email
last changed	2022/06/07 07:59

_id	87e3
authors	Liu, Y.-T., Shih, S.-C., Yeh, Y.-C. and Lee, H.-L.
year	2001
title	Design Production and Appreciation with Computer and Internet - Evolving Phenomena of Design Review in CAD Studio and Internet-based Competition
doi	https://doi.org/10.52842/conf.ecaade.2001.382
source	Architectural Information Management [19th eCAADe Conference Proceedings / ISBN 0-9523687-8-1] Helsinki (Finland) 29-31 August 2001, pp. 382-387
summary	This study intends to investigate some evolving phenomena of the interaction between design production and appreciation in the environment of computer and Internet. The result of this study indicates that the interaction between design production and appreciation during the review processes could differ significantly. The design production and appreciation seem to be more linear in CAD studio whereas more cyclic in the Internet environment.
keywords	CAD Studio, Internet-Based Competition, Design Review
series	eCAADe
email
last changed	2022/06/07 07:59

_id	da35
authors	Liu, Y.T.
year	1994
title	Some Phenomena of seeing shapes in design
source	Design Studies, v 16, n 3, pp. 367-385
summary	This paper is a look at some of the pyschological results that suggest how shape emergence manifest itself in the human mind. The first interesting result goes back to top down expectation guiding recognition. Some experimental suggest that it is easier (quicker) to recognize shapes which we have some alternate mental familiarity. (I.E. verbal, structural descriptions). So if we can easily say a shape then we can easily discern it as an emergent shape. The paper then goes on to discuss the definition of emergent subshapes and gives various authors definitions of what makes up and emergent shape. One interesting classification is the difference between explicit and implicit emergent shapes made by Mitchell. This difference amounts to a fine line between imagination and emergence. The results of an experiment between experienced and in-experienced designers is discussed. The results suggest that experienced designers are able to find more emergent shape than non experienced designers. From these results and from the opinions of others, the author goes on to specify 3 phenomena related to emergent recognition. The first is as above that it is easier to see shapes with which we are familiar. Second from this, the harder shapes are found after the initial period. Third, from the first two, time is required to find more subshapes. The author then searches for an explanation of this phenomena. He suggests that the underlying cause is related to an experience person having a lower threshold of what it is to be a member of a shape. When seeing an L shape the experienced design is likely to consider it also a square, because his requirement for the set of features which must be present for some object to be a considered a square is a smaller set than the inexperienced. While the author suggests that this is a phenomena it is actually an hypothesis. An alternate hypothesis may be that top down inhibitions effect the bottom up performance of the inexperienced design more because of different representation.
series	journal paper
email
last changed	2003/04/23 15:14

_id	caadria2020_064
id	caadria2020_064
authors	Liu, Yige, Chai, Hua and Yuan*, Philip F.
year	2020
title	Knitted Composites Tower - Design Research for Knitted Fabric Reinforced Composites Based on Advanced Knitting Technology
doi	https://doi.org/10.52842/conf.caadria.2020.1.055
source	D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 1, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 55-64
summary	Faced with growing urbanization demands of developing countries and global shortages of construction materials, this research looks for an innovative light-weight high-performance material system for architectural applications. The knitted composites tower is a 7.2-meter, 260-kilogram and self-supported prototype that uses 2mm thick knitted fabric reinforced composites. The result is lightweight and strong. It demonstrates the design potentials of knitted fabric reinforced composites. This article takes knitted composites tower as an example to illustrate a design method for knitted fabric reinforced composites. The design method covers three aspects of structural form selection, structure arrangement, and microscopic configuration. At last, the complete fabrication and construction process will be discussed with a full-scale physical prototype.
keywords	Knitting; Composites; Architectural Design
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	ecaade2024_322
id	ecaade2024_322
authors	Liu, Yijiang; Guan, Xiangyu; Liu, Lun; Wang, Hui
year	2024
title	Mindscape: Research of high-information density street environments based on electroencephalogram recording and virtual reality head-mounted simulation
doi	https://doi.org/10.52842/conf.ecaade.2024.1.663
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. 663–672
summary	This study aims to investigate, through neuroscientific methods, the effects of particular architectural elements on pedestrian spatial cognition and experience in the analysis and design of walking street spaces. More precisely, this paper will describe the impact of the density variation of storefront signs on the brainwaves of passersby in East Asian city walking streets, providing strategies and guidelines for urban development and renewal. Firstly, the paper summarizes the research method through the review of research questions and related literature; secondly, the paper establishes experiments via this path, analyzing results and indicators through data processing; finally, suggestions for future pedestrian street design are proposed based on research and analysis results.
keywords	Urban Studies, Neuroscience, EEG, Street Information Density
series	eCAADe
email
last changed	2024/11/17 22:05

_id	caadria2023_129
id	caadria2023_129
authors	Liu, Yisi, Webb, Nick and Brown, Andre
year	2023
title	The Re-creation of a Demolished House Based on Collective Memory
doi	https://doi.org/10.52842/conf.caadria.2023.1.363
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. 363–372
summary	This paper investigates how the collective memory of an architectural setting can be captured, re-created, and re-experienced. The method uses a workflow to create a Virtual Environment (VE) from diverse sources in an interpretational and iterative process. A case study was implemented to test this workflow, focusing on the re-creation of a now demolished family home based on information from multiple generations of a family. The workflow's main output is a VE in which the family members can re-experience the house and give continuous feedback. The essence of this workflow is the constant negotiation between remembered space in memory and its digital interpretation in the VE. The output was assessed and refined according to the users' feedback, which is used to loop back to specific stages in the workflow. This process revealed undisclosed histories and enhanced our understanding of this demolished site and its wider context. Moreover, the workflow provides a model for studying conceptually recreated spaces based on subjective sources and provides a user-centred experience in the VE.
keywords	Demolished houses, Collective memory, Interpretation, Virtual environment, User-centred
series	CAADRIA
email
last changed	2023/06/15 23:14

_id	sigradi2023_189
id	sigradi2023_189
authors	Liu, Yiyun, Dai, Sida, Kleiss, Michael, Alani, Mostafa and Pebryani, Nyoman
year	2023
title	Manufacturing Methodology for Precast Concrete Tiles with Morphing Shapes
source	García Amen, F, Goni Fitipaldo, A L and Armagno Gentile, Á (eds.), Accelerated Landscapes - Proceedings of the XXVII International Conference of the Ibero-American Society of Digital Graphics (SIGraDi 2023), Punta del Este, Maldonado, Uruguay, 29 November - 1 December 2023, pp. 67–78
summary	This study presents a novel, sustainable method for producing diverse concrete tiles with a reusable mould, addressing the waste issue associated with traditional tile moulds. Our digital manufacturing system, composed of a Rhino Grasshopper-based design system and an electric actuator-based kinetic mechanism, simplifies the construction process and lowers costs. The effectiveness of this method is showcased through six case studies, demonstrating its adaptability in diverse morphing tile designs, including the reinterpretation of traditional Islamic pattern. This approach opens new possibilities for the cost-effective, sustainable, and versatile use of concrete tiles in architecture.
keywords	Additive Manufacturing, Concrete, Actuated Mould, Morph, Tessellation Tile
series	SIGraDi
email
last changed	2024/03/08 14:06

_id	caadria2024_33
id	caadria2024_33
authors	Liu, Yongkang and Wang, Yi
year	2024
title	Survey of Built Environment in the Era of UAV: From Aerial Photogrammetry to Point Cloud Classification
doi	https://doi.org/10.52842/conf.caadria.2024.2.149
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. 149–158
summary	In order to further discover the potentials of UAV (Unmanned Aerial Vehicle) for built environment research, this article involves in drone aerial survey and its post-processing, with a special focus on point cloud classification. By operating UAV flying over villages at foot of Mount Tai, capturing images of the villages as first-hand materials, and conducting research with the help of 3D model reconstruction software, deep learning implements, GIS environment, the findings of research response the questions of the relationship between flight altitude, working efficiency, and 3D reconstruction quality, and how to utilize the deep learning tools for certain building classification. The solution to the second problem, also the most noteworthy contribution of this article, is achieved by training a customized point cloud classification model. This model can be used to identify point clouds of specific types of buildings, which is an advancement compared to the basic Automated Classification in ArcGIS Pro. The quality of point cloud recognition is also better than the latter. Potential application of this research could be reflected in the statistical work for certain types of buildings. In other words, this study plays an intermediary role between UAV-aided image gathering to further spatial statistical research.
keywords	UAV-aided Survey, Aerial Photogrammetry, Customized Point Cloud Classification, Deep Learning
series	CAADRIA
email
last changed	2024/11/17 22:05

_id	6097
authors	Liu, Yu Tung
year	1996
title	Connectionist CAAD for Restructuring Shapes in Terms of Emergent Subshapes
doi	https://doi.org/10.52842/conf.caadria.1996.173
source	CAADRIA ‘96 [Proceedings of The First Conference on Computer Aided Architectural Design Research in Asia / ISBN 9627-75-703-9] Hong Kong (Hong Kong) 25-27 April 1996, pp. 173-190
summary	Designers naturally restructure shapes in terms of emergent subshapes in the process of design. According to the result of a psychological experiment about how experienced and non-experienced designers see shapes, only experienced designers can encode implicit subshapes emerged from the primary shapes. Many symbolic approaches have been considered in addressing this focused problem. On the other hand, the issue is also encountered by connectionist networks, also called parallel distributed models or neural networks. Recognizing both explicit and implicit emergent subshapes has been explored using connectionist networks associated with appropriate mechanisms of visual attention, namely recurrent attention and searchlight attention in combination. The distinction between symbolic and connectionist computations of shapes is discussed.
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	4a5f
authors	Liu, Yu-Tung
year	1993
title	Recognizing Emergent Subshapes in Design Problem Solving: A Connectionist Investigation
doi	https://doi.org/10.52842/conf.acadia.1993.131
source	Education and Practice: The Critical Interface [ACADIA Conference Proceedings / ISBN 1-880250-02-0] Texas (Texas / USA) 1993, pp. 131-139
summary	Human problem-solving behavior has been modelled as a search through the space as defined as problem states, within which earlier states move to subsequent ones by applying rules in the human mind until the goal state is found. This cognitive model of problem-solving has been broadly accepted and has become dominant in both cognitive psychology and artificial intelligence (AI). In the field of computeraided architectural design (CAAD), search models are also widely used for solving design problems, although various foci of design knowledge are differently represented by shape grammars, graphs, and knowledge-based systems using predicate logic for different purports. In design search, design evolves from one state to another by exhaustively or heuristically applying proper rules. Each rule application involves, first, pattern-matching the antecedent of a rule to the current state and, second, transforming the matched portion of that state into the consequence of the rule. However pattern-matching techniques of current CAAD systems are still limited. In current CAAD systems, only those two squares can be dealt with by patternmatching for further development. However, a human designer can effortlessly recognize not only those two but other emergent subshapes, for example a smaller square in the middle where the two squares overlap and two L-shapes in the corners. Therefore a human designer can thoroughly deliberate all these alternatives before making a decision. In other words, human designer is capable of restructuring shapes in terms of emergent subshapes in any step of designing.
series	ACADIA
email
last changed	2022/06/07 07:59

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