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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Hits 1 to 20 of 17048

_id 4e6e
authors Liu, Clive K. and Eastman, Charles M.
year 1981
title Object Grammars : Language for the Generation of Masonry Designs
source 20 p. ; ill April, 1981. includes bibliography.
summary Bricks, one of the oldest manufactured building materials, are used extensively in construction. Usually they are built into wall assemblies. In this paper, the construction of traditional masonry designs are investigated. Object grammars are defined for the recursive generation of the 3 dimensional wall designs. Also, the uses of object grammars are discussed
keywords shape grammars, objects, synthesis, assemblies, architecture, applications
series CADline
email
last changed 2003/06/02 13:58

_id 9d2e
authors Liu, H., Tang, M. and Frazer, J. H.
year 2002
title A Knowledge Based Collaborative Design Environment
source Gero JS and Brazier FMT (eds) (2002) Agents in Design 2002. Key Centre of Design Computing and Cognition, University of Sydney, pp. 233-246
summary In this paper, we propose an agent based collaborative design environment in which human designers and software agents interact with each other, exchange design information and keep track of state information to assist with collaborative design. First of all, it presents a hierarchical multi-agent system architecture for integrating design and engineering tools, software agents and human specialists in an open environment. The hierarchical multi-agent system architecture offers a promising framework with their novel approaches for dynamically creating and managing design tasks in widely distributed and ever-changing design environments. Secondly, it introduces a collaborative design process model and the dynamic management approach for collaborative design process. Then, the structure of a design agent, its static knowledge and dynamic knowledge are introduced respectively. The knowledge based design approach provides a foundation for supporting reusable design activities. Finally, the cooperative design process is illustrated by a bicycle design example.
series other
email
last changed 2003/05/10 10:16

_id 91ea
authors Liu, J.
year 1997
title Quality prediction for concrete manufacturing
source Automation in Construction 5 (6) (1997) pp. 491-499
summary The problem of extracting information from several sources of information is a very important issue in intelligent systems. In the field of manufacturing concrete--one of the most common construction materials--in Hong Kong, this problem is quite common. There is no direct formulation of concrete mix for specified properties, and all of the mixes are designed by experience and subject to quality inconsistency due to many possible mixing variations. This paper describes an application of neural network techniques to the acquisition of qualitative knowledge during the production of concrete. It shows the capabilities of the developed model for the analysis and representation of production data and prediction of the quality of concrete under different mixing formulations. The simulation results indicate that the neural network's prediction is generally superior to those of conventional methods which often require time-consuming trial mixes for verifying the specified properties before mass production for use.
series journal paper
more http://www.elsevier.com/locate/autcon
last changed 2003/05/15 21:22

_id caadria2018_306
id caadria2018_306
authors Liu, Jie, Ma, Hongtao, Tang, Ning, Xu, Weiguo and Luo, Dan
year 2018
title Kinetair: Interactive Stairs with Multiple Functions
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. 369-378
doi https://doi.org/10.52842/conf.caadria.2018.2.369
summary Kinetair is an interactive stairs prototype which could change its appearance according to the surrounding conditions, providing a diversity of functions, such as stairs, exhibition walls, furniture and so on. This research is based on the Interactive Architecture theory, integrating with digital fabrication technology. This paper will illustrate the origin of the concept, the concept development process, the fabrication process and the various possible application of Kinetair. This experiment evokes us to rethink the fundamental meanings of the architecture components in a brand new perspective, and stimulates designers to explore the new features of conventional constructions with cutting-edge technologies.
keywords interactive stairs; stair design; kinetic structure; dynamic design; adaptive form
series CAADRIA
email
last changed 2022/06/07 07:59

_id caadria2019_227
id caadria2019_227
authors Liu, Jie, Xu, Weiguo, Chang, Jiahui, Ma, Hongtao and Xu, Qingqing
year 2019
title Flipped - An Interactive Installation Working as Social Catalyst for Social Anxiety Disorder Students
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. 515-524
doi https://doi.org/10.52842/conf.caadria.2019.1.515
summary This research attempts to use an architectural design approach to increase the opportunities to participate in social activities and the chances to establish friendship for social anxiety disorder students. By analyzing the cause and treatment of social anxiety disorder, we propose an entertaining, therapeutic interactive installation named Flipped which working as a social catalyst for social anxiety disorder students. In order to build the installation space intelligent and friendly, a variety of advanced technologies have been embedded into the design. The paper will detail the development of the design concept, the technical implementation of the construction, and the problems encountered during the experience activities.
keywords Interactive Installation; Social Anxiety Disorder; Therapeutic Interactive Environment; Social Catalyst
series CAADRIA
email
last changed 2022/06/07 07:59

_id ecaade2021_223
id ecaade2021_223
authors Liu, Jie
year 2021
title From Physiology to Architecture - The methodology for interactive architecture behavior design
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
doi https://doi.org/10.52842/conf.ecaade.2021.1.195
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 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
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
doi https://doi.org/10.52842/conf.caadria.2022.1.465
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
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
doi https://doi.org/10.52842/conf.caadria.2019.1.331
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 caadria2022_157
id caadria2022_157
authors Liu, Sijie, Wei, Ziru and Wang, Sining
year 2022
title On-site Holographic Building Construction: A Case Study of Aurora
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. 405-414
doi https://doi.org/10.52842/conf.caadria.2022.2.405
summary Geometrically complex building components‚ reliance on high-touch implementation often results in tedious information reprocessing. Recent use of Mixed Reality (MR) in architectural practices, however, can reduce data translation and potentially increase design-to-build efficiency. This paper uses Aurora, a single-story residential building for 2021 China‚s Solar Decathlon Competition, as a demonstrator to evaluate the performance of on-site holographic building construction. This paper firstly reviews recent studies of MR in architectural design and practice. It then describes an MR-aided construction process of Aurora's non-standard building envelope and rooftop mounting structure, where in-situ holographic registration, human-machine cooperation, and as-built analysis are discussed. This paper concludes by stating that MR technologies provide unskilled implementers with a handy approach to materialise complex designs. The research was guided by the UN Sustainable Development Goals, especially aligning with the GOAL 9 which seeks innovations in industry and infrastructure.
keywords Mixed Reality, Non-standard Architecture, Low-tech Construction, Solar Decathlon Competition, SDG 9
series CAADRIA
email
last changed 2022/07/22 07:34

_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
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
doi https://doi.org/10.52842/conf.caadria.2022.1.485
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 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
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
doi https://doi.org/10.52842/conf.caadria.2020.1.055
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 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
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
doi https://doi.org/10.52842/conf.caadria.2023.1.363
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
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
doi https://doi.org/10.52842/conf.caadria.2024.2.149
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 4a5f
authors Liu, Yu-Tung
year 1993
title Recognizing Emergent Subshapes in Design Problem Solving: A Connectionist Investigation
source Education and Practice: The Critical Interface [ACADIA Conference Proceedings / ISBN 1-880250-02-0] Texas (Texas / USA) 1993, pp. 131-139
doi https://doi.org/10.52842/conf.acadia.1993.131
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

_id e546
authors Liu, Yu-Tung
year 2000
title The Evolving Concept of Space: From Hsinchu Museum of Arts to the Digital City Art Center
source ACADIA Quarterly, vol. 19, no. 4, pp. 9-11
doi https://doi.org/10.52842/conf.acadia.2000.009.2
summary From a functional point of view, a museum of arts is a space used for collecting works of art. This is, however, a spatial concept held prior to the 20th century: the center of focus in spatial design is the collections (focusing on “objects” as opposed to “users”). In the 20th century, the museum has evolved into a space for the interactivity between the viewers and the objects, with the concept of design shifting to that of placing equal emphasis on both the user and the object?at times the role of the user is even given greater emphasis in the design process without a conscious intent on the part of the designer. The coming century is one that we believe will be confronted with incredible waves caused by the impact of computers, the ultimate machines of digitization. At this junction, we often say that we are going to have new ways of thinking, new cities and new concepts of space. However, what should these new things be?
series ACADIA
email
last changed 2022/06/07 07:59

_id 8db9
authors Liu, Yu-Tung
year 1993
title A Connectionist Approach to Shape Recognition and Transformation
source CAAD Futures ‘93 [Conference Proceedings / ISBN 0-444-89922-7] (Pittsburgh / USA), 1993, pp. 19-36
summary In human design processes, many drawings of shapes remain incomplete or are executed inaccurately. Cognitively, a designer is able to discern these anomalous shapes, whereas current CAAD systems fail to recognize them properly so that CAAD systems are unable to match left-hand-side conditions of shape rules. More unfortunately, as a result, current CAAD systems fail to retrieve right-hand-side actions. In this paper, multi-layered neural networks are constructed to solve the recognition and transformation of ill-processed shapes in the light of recent advances of connectionism in cognitive psychology and artificial intelligence.
keywords Shape Recognition, Shape Transformation, Connectionist Models, PDP Models, Content-Addressable Memory, Neural Networks
series CAAD Futures
email
last changed 2003/05/16 20:58

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