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	ef4b
authors	Babalola, Olubi and Eastman, Charles
year	2001
title	Semantic Interpretation of Architectural Drawings
doi	https://doi.org/10.52842/conf.acadia.2001.166
source	Reinventing the Discourse - How Digital Tools Help Bridge and Transform Research, Education and Practice in Architecture [Proceedings of the Twenty First Annual Conference of the Association for Computer-Aided Design in Architecture / ISBN 1-880250-10-1] Buffalo (New York) 11-14 October 2001, pp. 166-179
summary	The paper reviews the needs and issues of automatically interpreting architectural drawings into building model representations. It distinguishes between recognition and semantic interpretation and reviews the steps involved in developing such a conversion capability, referring to the relevant literature and concepts. It identifies two potentially useful components, neither of which has received attention. One is the development of a syntactically defined drafting language. The other is a strategy for interpreting the semantic content of architectural drawings, based on the analogy of natural language interpretation
keywords	Semantic Interpretation, Drawing Understanding
series	ACADIA
email
last changed	2022/06/07 07:54

_id	1445
authors	Caldas, L. and Rocha, J.
year	2001
title	A generative design system applied to Sizaís school of architecture at Oporto
doi	https://doi.org/10.52842/conf.caadria.2001.253
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. 253-264
summary	A new generative design system based on a genetic algorithm is tested within the framework of Alvaro Sizaís School of Architecture at Oporto, Portugal. The system works over a detailed three-dimensional description of the building and uses natural lighting and overall environmental performance as objective functions to guide the generation of solutions. This paper researches the encoding of architectural design intentions into the system, using constraints derived from Sizaís original design. Experiments using this generative system were performed on three different geographical locations to test the algorithmís capability to adapt solutions to different climatic characteristics within the same language constraints.
series	CAADRIA
last changed	2022/06/07 07:54

_id	5b1e
authors	Stellingwerff, Martijn
year	2001
title	The concept of Carrying in Collaborative Virtual Environments
source	Stellingwerff, Martijn and Verbeke, Johan (Eds.), ACCOLADE - Architecture, Collaboration, Design. Delft University Press (DUP Science) / ISBN 90-407-2216-1 / The Netherlands, pp. 195-208 [Book ordering info: m.c.stellingwerff@bk.tudelft.nl]
summary	Collaborative Architectural Design can take place within a virtual environment with a team of remote but virtually present people. However, in most virtual environments, the ability to perform actions is still limited to the availability of some interactive objects and a set of tools for the specific purposes of the system. As the interface of most systems is designed for unshared use, the graphic feedback signals are limited to local information about the state of objects and tools. If multiuser interaction is added to such Virtual Environments, many new possibilities and problems emerge. Users of shared applications should not only be informed about the state of local objects, tools and their own actions, they should also be made aware of what the other users undertake. Aspects, which are in daily life so obvious, should be restudied thoroughly for the application within Virtual Environments for Collaborative Design. Much research has to be undertaken in order to make such virtual places as intuitively interactive as ordinary shared working places. The 'concept of carrying', which is proposed and explained in this paper, is expected to become a useful metaphoric mechanism for solving several issues related to Spatial User Interfaces (SUI's) and Collaborative Virtual Environments (CVE's). The visual feedback from 'carrying-events' should provide more mutual understanding about ongoing processes in shared applications and it should add a more 'natural' interface for processes concerning people, tools and content in virtual and digitally augmented environments. At the start of this paper some basic human action patterns for tasks on a 2Ddesktop are compared to tasks in a 3D-environment. These action patterns are checked for their implementation in Windows Icons Menus and Pointer (WIMP) interfaces and Virtual Reality systems. Carrying is focused upon as an important interactive event in Virtual Environments. Three carrying actions related to Collaborative Architectural Design are explained by means of prototypes in Virtual Reality Modeling Language (VRML). Finally the usefulness of a general carrying concept as part of a new Visual Language is considered. The research at hand is in its first exploring phases and draws from a running PhD research about SUI's for Context Related Architectural Design and from recent experiences in CVE's.
series	other
email
last changed	2001/09/14 21:30

_id	caadria2022_167
id	caadria2022_167
authors	Aman, Jayedi, Matisziw, Timothy C, Kim, Jong Bum and Luo, Dan
year	2022
title	Sensing the City: Leveraging Geotagged Social Media Posts and Street View Imagery to Model Urban Streetscapes Using Deep Neural Networks
doi	https://doi.org/10.52842/conf.caadria.2022.1.595
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. 595-604
summary	Understanding the relationships between individuals and the urban streetscape is an essential component of sustainable city planning. However, analysis of these relationships involves accounting for a complex mix of human behaviour, perception, as well as geospatial context. In this context, a comprehensive framework for predicting preferred streetscape characteristics utilizing deep learning and geospatial techniques is proposed. Geotagged social media posts and street view imagery are employed to account for individual sentiment and geospatial context. Natural Language Processing (NLP) and computer vision (CV) are then used to infer sentiment and model the visual environment within which individuals make posts to social media. An application of the developed framework is provided using Instagram posts and Google Street View imagery of the urban environment. A spatial analysis is conducted to assess the extent to which urban attributes correlate with the sentiment of social media postings. The results shed light on sustainable streetscape planning by focusing on the relationship between users and the built environment in a complex urban setting. Finally, limitations of the developed methodology as well as future directions are discussed.
keywords	Urban sustainability, data mining, pedestrian sentiments, transportation behavior, street level imagery, transformers, SDG 11
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	cdrf2019_199
id	cdrf2019_199
authors	Ana Herruzo and Nikita Pashenkov
year	2020
title	Collection to Creation: Playfully Interpreting the Classics with Contemporary Tools
doi	https://doi.org/https://doi.org/10.1007/978-981-33-4400-6_19
source	Proceedings of the 2020 DigitalFUTURES The 2nd International Conference on Computational Design and Robotic Fabrication (CDRF 2020)
summary	This paper details an experimental project developed in an academic and pedagogical environment, aiming to bring together visual arts and computer science coursework in the creation of an interactive installation for a live event at The J. Paul Getty Museum. The result incorporates interactive visuals based on the user’s movements and facial expressions, accompanied by synthetic texts generated using machine learning algorithms trained on the museum’s art collection. Special focus is paid to how advances in computing such as Deep Learning and Natural Language Processing can contribute to deeper engagement with users and add new layers of interactivity.
series	cdrf
email
last changed	2022/09/29 07:51

_id	caadria2022_139
id	caadria2022_139
authors	Ataman, Cem, Tuncer, Bige and Perrault, Simon
year	2022
title	Asynchronous Digital Participation in Urban Design Processes: Qualitative Data Exploration and Analysis With Natural Language Processing
doi	https://doi.org/10.52842/conf.caadria.2022.1.383
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. 383-392
summary	This paper aims to improve the usability of qualitative urban big data sources by utilizing Natural Language Processing (NLP) as a promising AI-based technique. In this research, we designed a digital participation experiment by deploying an open-source and customizable asynchronous participation tool, "Consul Project‚, with 47 participants in the campus transformation process of the Singapore University of Technology and Design (SUTD). At the end of the data collection process with several debate topics and proposals, we analysed the qualitative data in entry scale, topic scale, and module scale. We investigated the impact of sentiment scores of each entry on the overall discussion and the sentiment scores of each introduction text on the ongoing discussions to trace the interaction and engagement. Furthermore, we used Latent Dirichlet Allocation (LDA) topic modelling to visualize the abstract topics that occurred in the participation experiment. The results revealed the links between different debates and proposals, which allow designers and decision makers to identify the most interacted arguments and engaging topics throughout participation processes. Eventually, this research presented the potentials of qualitative data while highlighting the necessity of adopting new methods and techniques, e.g., NLP, sentiment analysis, LDA topic modelling, to analyse and represent the collected qualitative data in asynchronous digital participation processes.
keywords	Urban Design, Digital Participation, Qualitative Urban Data, Natural Language Processing (NLP), Sentiment Analysis, LDA Topic Modelling, SDG 10, SDG 11.
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	caadria2024_202
id	caadria2024_202
authors	Ataman, Cem, Tunçer, Bige and Perrault, Simon
year	2024
title	Digital Participation in Urban Design and Planning: Addressing Data Translation Challenges in Urban Policy- and Decision-Making through Visualization Techniques
doi	https://doi.org/10.52842/conf.caadria.2024.2.201
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. 201–210
summary	Digital technologies and online platforms, such as e-participation and crowdsourcing tools, are revolutionizing citizen engagement in urban design and planning by enabling large-scale, asynchronous, and individual participation processes. This evolution towards more inclusive and representative decision- and policy-making, however, presents a significant challenge: the effective utilization of the vast amounts of textual data generated. This difficulty arises from distilling the most relevant information from the extensive datasets and the lack of suitable methodologies for the visual representation of qualitative data in urban practices. Addressing this, the paper deploys AI-based analysis methods, including Natural Language Processing (NLP), Topic Modeling (TM), and sentiment analysis, to efficiently analyze these datasets and extract relevant information. It then advances into the realm of data representation, proposing innovative approaches for the visual translation of this textual data into multi-layered narratives. These approaches, designed to comply with a comprehensive set of both quantitative and qualitative interpretation criteria, aim to offer deeper insights, thus fostering equitable and inclusive governance. The goal of this research is to harness the power of qualitative textual data derived from online participation platforms to inform and enhance decision- and policy-making processes in urban design and planning, thereby contributing to more informed, inclusive, and effective urban governance.
keywords	Digital Participation, Textual Big Data, Natural Language Processing, Spatial Data Analytics, Data Visualization
series	CAADRIA
email
last changed	2024/11/17 22:05

_id	ascaad2021_022
id	ascaad2021_022
authors	Baºarir, Lale; Kutluhan Erol
year	2021
title	Briefing AI: From Architectural Design Brief Texts to Architectural Design Sketches
source	Abdelmohsen, S, El-Khouly, T, Mallasi, Z and Bennadji, A (eds.), Architecture in the Age of Disruptive Technologies: Transformations and Challenges [9th ASCAAD Conference Proceedings ISBN 978-1-907349-20-1] Cairo (Egypt) [Virtual Conference] 2-4 March 2021, pp. 23-31
summary	The main focus of this research is to uncover the underlying intuitive knowledge of architecture with the help of machine learning models. To achieve this, a generic architectural design process is considered and divided into iterative portions based on their output for each phase. This study looks into the initial portion of the architectural design process called “Briefing”. The authors search for the intuition that exists within the design process and how it can be learned by artificial intelligence (AI) that is currently gained through master-apprentice relationship and experience that builds up this knowledge. In this study, a way to enable users to attain an architectural design sketch while defining an architectural design problem with text is explored. This on-going research decomposes the components of the briefing and preliminary design sketching processes. Therefore the domain knowledge at each phase is considered for translating to constraints via natural language processing (NLP) and machine learning (ML) models such as Generative Adversarial Networks (GANs).
series	ASCAAD
type	normal paper
email
last changed	2021/08/09 13:11

_id	ecaade2024_85
id	ecaade2024_85
authors	Casakin, Hernan; Sopher, Hadas; Anidjar, Or H.; Gero, John S.
year	2024
title	A Data-Driven NLP Approach to Analyzing Framing and Reframing in Design Protocols
doi	https://doi.org/10.52842/conf.ecaade.2024.2.547
source	Kontovourkis, O, Phocas, MC and Wurzer, G (eds.), Data-Driven Intelligence - Proceedings of the 42nd Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2024), Nicosia, 11-13 September 2024, Volume 2, pp. 547–556
summary	This study introduces a novel data-driven approach to quantitatively characterize and measure framing and reframing (F-RF) behaviors during design problem-solving. F-RF are cognitive processes which shape problem understanding and solution development in design. Quantitative measurement methods for F-RF remain largely unexplored. The proposed approach utilizes protocol analysis combined with Natural Language Processing (NLP) algorithms to track the occurrences and re-occurrences of design concepts expressed verbally while designing. Specifically, NLP algorithms are employed to identify F-RF, enabling the systematic tracking of F-RFs and their corresponding semantic values. By calculating the semantic value of concepts and frames, the approach enables determining how a concept and a frame differed from the previous occurrences. A case study of an architect and a student demonstrates this data-driven approach. The proposed methodology holds potential for the development of systems capable of providing real-time feedback to students and professional designers, supporting and enhancing their framing skills during the design process.
keywords	Data-driven approach, Natural Language Processing (NLP), Design concept, Design problem-solving, Framing and reframing
series	eCAADe
email
last changed	2024/11/17 22:05

_id	ecaade2020_214
id	ecaade2020_214
authors	Chen, Hsien and Hsu, Pei-Hsien
year	2020
title	Data Mining as a User-oriented Tool in Participatory Urban Design
doi	https://doi.org/10.52842/conf.ecaade.2020.1.011
source	Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 1, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 11-18
summary	In this research, we did the datamining to the POI(point-of-interest) of the city, and shows how Popular times data and NPL(Natural language processing) analysis transformed user data into new tools of participatory design of urban planning. After analyzing and visualizing the popular time data of the city POI, we showed the city users' preferred place to go at different point in time. And this will figured out that at some time, same type of POI has different using condition. Based on above mentioned, we used NPL to analyze user reviews to find out the causes and provide planning suggestions. This method can offer planner a chance to understand the experience of city user at the planning stage. Comparing to the traditional method, fetching data from the social platform could be able to get the daily preference, perspective and emotion of the users, and these data can make the result of participatory urban planning accord with the demand of the users.
keywords	Popular times; NLP; Social Media; Urban Design Tool; Smart Cities
series	eCAADe
email
last changed	2022/06/07 07:55

_id	ecaade2016_096
id	ecaade2016_096
authors	Chen, Nai Chun, Nagakura, Takehiko and Larson, Kent
year	2016
title	Social Media as Complementary Tool to Evaluate Cities - Data Mining Innovation Districts in Boston
doi	https://doi.org/10.52842/conf.ecaade.2016.2.447
source	Herneoja, Aulikki; Toni Österlund and Piia Markkanen (eds.), Complexity & Simplicity - Proceedings of the 34th eCAADe Conference - Volume 2, University of Oulu, Oulu, Finland, 22-26 August 2016, pp. 447-456
summary	High tech industries are playing an important role in the economic development in the United States. While some cities are shrinking, the "innovation" cities are growing. The attributes that cause some cities to successfully become innovative is a very relevant 21st century topic and will be investigated here.Previous work conduct city analysis through conventional government GIS or census data but such analyses do not answer questions about the perception of citizens inhabiting the city, and the activities they conduct. The novelty of this current project is to make use of large-scale bottom-up data available from social media. Several social media sources-CrunchBase, Twitter, Yelp, and Flickr- were data mined pertaining to four innovation districts in Boston. We found that the success of innovation districts in Boston were correlated with several important variables: the most successful districts tended to occur near research institutions, in very "mixed use" areas, and were unexpectedly not correlated with land and labor prices, unlike technology districts in the past. Based on our study, we make recommendations for the urban design that cities should put in place to increase the potential for "innovation".
wos	WOS:000402064400044
keywords	Smart Cities; Social Media; Innovation District; Spatial Analysis; Data Mining; Natural Language Processing
series	eCAADe
email
last changed	2022/06/07 07:55

_id	cf2017_101
id	cf2017_101
authors	Chen, Nai Chun; Zhang, Yan; Stephens, Marrisa; Nagakura, Takehiko; Larson, Kent
year	2017
title	Urban Data Mining with Natural Language Processing: Social Media as Complementary Tool for Urban Decision Making
source	Gülen Çagdas, Mine Özkar, Leman F. Gül and Ethem Gürer (Eds.) Future Trajectories of Computation in Design [17th International Conference, CAAD Futures 2017, Proceedings / ISBN 978-975-561-482-3] Istanbul, Turkey, July 12-14, 2017, pp. 101-109.
summary	The presence of web2.0 and traceable mobile devices creates new opportunities for urban designers to understand cities through an analysis of user-generated data. The emergence of “big data” has resulted in a large amount of information documenting daily events, perceptions, thoughts, and emotions of citizens, all annotated with the location and time that they were recorded. This data presents an unprecedented opportunity to gauge public opinion about the topic of interest. Natural language processing with social media is a novel tool complementary to traditional survey methods. In this paper, we validate these methods using tourism data from Trip-Advisor in Andorra. “Natural language processing” (NLP) detects patterns within written languages, enabling researchers to infer sentiment by parsing sentences from social media. We applied sentiment analysis to reviews of tourist attractions and restaurants. We found that there were distinct geographic regions in Andorra where amenities were reviewed as either uniformly positive or negative. For example, correlating negative reviews of parking availability with land use data revealed a shortage of parking associated with a known traffic congestion issue, validating our methods. We believe that the application of NLP to social media data can be a complementary tool for urban decision making.
keywords	Short Paper, Urban Design Decision Making, Social Media, Natural Language Processing
series	CAAD Futures
email
last changed	2017/12/01 14:37

_id	caadria2024_81
id	caadria2024_81
authors	Cheng, Sifan and van Ameijde, Jeroen
year	2024
title	Sensing Streets: Exploring the Association Between Cityscape Qualities and Street Perceptions Using Street View Imagery and Natural Language Processing
doi	https://doi.org/10.52842/conf.caadria.2024.2.139
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. 139–148
summary	Assessing the perception of street environments and understanding the relationships between their aesthetic qualities and pedestrian experiences are critical to promoting walking behaviour and enhancing urban residents’ long-term well-being. While Machine Learning-based analysis of Street View Imagery (SVI) has enabled a range of streetscape studies, the relationship between the visual qualities of cityscapes and people’s emotional responses is still under studied. This study used recently developed computational methods to quantify urban street qualities and related sentiments. It collected online reviews and employed Natural Language Processing (NLP) methods to understand how people perceive streets and which environmental features contribute to positive and negative street perceptions. The analytical framework developed in this study can support other high-resolution studies into the spatial-temporal perception of cityscapes in high-density cities across the world.
keywords	Cityscape Quality, Street Perception, Social Media Data, Sentiment Analysis, Natural Language Processing
series	CAADRIA
email
last changed	2024/11/17 22:05

_id	sigradi2023_375
id	sigradi2023_375
authors	Consalter Diniz, Maria Luisa, Polverini Boeing, Lais, dos Santos Carvalho, Wendel and Bertola Duarte, Rovenir
year	2023
title	Natural Language Processing, Sentiment Analysis, and Urban Studies: A Systematic Review
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. 1761–1772
summary	This paper discusses the potential of using data from social media and location data platforms to create cartographies that enhance our understanding of urban dynamics. Natural Language Processing (NLP) and sentiment analysis are highlighted as essential tools for comprehending and categorizing this data. The study conducted a systematic review of NLP and sentiment analysis applications in urban studies, covering 27 peer-reviewed journals and conference papers published between 2018 and 2023. The research classified applications into six categories: urban livability, governance and management, user and landscape perception, land use and zoning, public health, and transportation and mobility. Most studies primarily relied on data from social media platforms like Twitter and location data sources such as Google Maps and Trip Advisor. Challenges include dealing with irrelevant or misleading information in publicly available data and limited accuracy when analyzing sentiments of non-English-speaking populations.
keywords	Natural language processing, Sentiment analysis, Urban studies, Digital cartographies, Systematic review.
series	SIGraDi
email
last changed	2024/03/08 14:09

_id	4275
authors	Cowan, David
year	1985
title	Artificial Intelligence at Edinburgh University
source	computer Aided Design. November, 1985. vol. 17: pp. 465-468
summary	The development of research into the area of artificial intelligence is described. It was first recognized by Edinburgh University as an independent discipline in 1966 and there is now an Artificial Intelligence Applications Institute. The main areas of artificial intelligence research are summarized. The five projects carried out with Alvey funding are examined in more detail. They cover such topics as natural language and text processing, 3D modelling and expert systems
keywords	AI, expert systems, modeling, natural languages
series	CADline
last changed	1999/02/12 15:07

_id	acadia20_406
id	acadia20_406
authors	Duong, Eric; Vercoe, Garrett; Baharlou, Ehsan
year	2020
title	Engelbart
doi	https://doi.org/10.52842/conf.acadia.2020.1.406
source	ACADIA 2020: Distributed Proximities / Volume I: Technical Papers [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95213-0]. Online and Global. 24-30 October 2020. edited by B. Slocum, V. Ago, S. Doyle, A. Marcus, M. Yablonina, and M. del Campo. 406-415.
summary	The internet has long been viewed as a cyberspace of free and collective information, allowing for an increase in the diversity of ideas and viewpoints available to the general public. However, critics argue that the emergence of personalization algorithms on social media and other internet platforms instead reduces information diversity by forming “filter bubbles"" of viewpoints similar to the user’s own. The adoption of these personalization algorithms is due in part to advancements in natural language processing, which allow for textual analysis at unprecedented scales. This paper aims to utilize natural language processing and architectural spatial principles to present social media from a collective viewpoint rather than a personalized one. To accomplish this, the paper introduces Engelbart, a data-driven agent-based system, where real-time Twitter conversations are visualized within a two-dimensional environment. This environment is interacted with by the artificial intelligence (AI) agent, Engelbart, which summarizes crowdsourced thoughts and feelings about current trending topics. The functionality of this web application comes from the natural language processing of thousands of tweets per minute throughout several layers of operations, including sentiment analysis and word embeddings. Presented as an understandable interface, it incorporates the values of cybernetics, cyberspace, agent-based modeling, and data ethics to show the potential for social media to become a more transparent space for collective discussion.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	caadria2020_402
id	caadria2020_402
authors	Ezzat, Mohammed
year	2020
title	A Framework for a Comprehensive Conceptualization of Urban Constructs - SpatialNet and SpatialFeaturesNet for computer-aided creative urban design
doi	https://doi.org/10.52842/conf.caadria.2020.2.111
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 2, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 111-120
summary	Analogy is thought to be foundational for designing and for design creativity. Nonetheless, practicing analogical reasoning needs a knowledge-base. The paper proposes a framework for constructing a knowledge-base of urban constructs that builds on an ontology of urbanism. The framework is composed of two modules that are responsible for representing either the concepts or the features of any urban constructs' materialization. The concepts are represented as a knowledge graph (KG) named SpatialNet, while the physical features are represented by a deep neural network (DNN) called SpatialFeaturesNet. For structuring SpatialNet, as a KG that comprehensively conceptualizes spatial qualities, deep learning applied to natural language processing (NLP) is employed. The comprehensive concepts of SpatialNet are firstly discovered using semantic analyses of nine English lingual corpora and then structured using the urban ontology. The goal of the framework is to map the spatial features to the plethora of their matching concepts. The granularity Ã nd the coherence of the proposed framework is expected to sustain or substitute other known analogical, knowledge-based, inspirational design approaches such as case-based reasoning (CBR) and its analogical application on architectural design (CBD).
keywords	Domain-specific knowledge graph of urban qualities; Deep neural network for structuring KG; Natural language processing and comprehensive understanding of urban constructs; Urban cognition and design creativity; Case-based reasoning (CBR) and case-based design (CBD)
series	CAADRIA
email
last changed	2022/06/07 07:55

_id	2068
authors	Frazer, John
year	1995
title	AN EVOLUTIONARY ARCHITECTURE
source	London: Architectural Association
summary	In "An Evolutionary Architecture", John Frazer presents an overview of his work for the past 30 years. Attempting to develop a theoretical basis for architecture using analogies with nature's processes of evolution and morphogenesis. Frazer's vision of the future of architecture is to construct organic buildings. Thermodynamically open systems which are more environmentally aware and sustainable physically, sociologically and economically. The range of topics which Frazer discusses is a good illustration of the breadth and depth of the evolutionary design problem. Environmental Modelling One of the first topics dealt with is the importance of environmental modelling within the design process. Frazer shows how environmental modelling is often misused or misinterpreted by architects with particular reference to solar modelling. From the discussion given it would seem that simplifications of the environmental models is the prime culprit resulting in misinterpretation and misuse. The simplifications are understandable given the amount of information needed for accurate modelling. By simplifying the model of the environmental conditions the architect is able to make informed judgments within reasonable amounts of time and effort. Unfortunately the simplications result in errors which compound and cause the resulting structures to fall short of their anticipated performance. Frazer obviously believes that the computer can be a great aid in the harnessing of environmental modelling data, providing that the same simplifying assumptions are not made and that better models and interfaces are possible. Physical Modelling Physical modelling has played an important role in Frazer's research. Leading to the construction of several novel machine readable interactive models, ranging from lego-like building blocks to beermat cellular automata and wall partitioning systems. Ultimately this line of research has led to the Universal Constructor and the Universal Interactor. The Universal Constructor The Universal Constructor features on the cover of the book. It consists of a base plug-board, called the "landscape", on top of which "smart" blocks, or cells, can be stacked vertically. The cells are individually identified and can communicate with neighbours above and below. Cells communicate with users through a bank of LEDs displaying the current state of the cell. The whole structure is machine readable and so can be interpreted by a computer. The computer can interpret the states of the cells as either colour or geometrical transformations allowing a wide range of possible interpretations. The user interacts with the computer display through direct manipulation of the cells. The computer can communicate and even direct the actions of the user through feedback with the cells to display various states. The direct manipulation of the cells encourages experimentation by the user and demonstrates basic concepts of the system. The Universal Interactor The Universal Interactor is a whole series of experimental projects investigating novel input and output devices. All of the devices speak a common binary language and so can communicate through a mediating central hub. The result is that input, from say a body-suit, can be used to drive the out of a sound system or vice versa. The Universal Interactor opens up many possibilities for expression when using a CAD system that may at first seem very strange.However, some of these feedback systems may prove superior in the hands of skilled technicians than more standard devices. Imagine how a musician might be able to devise structures by playing melodies which express the character. Of course the interpretation of input in this form poses a difficult problem which will take a great deal of research to achieve. The Universal Interactor has been used to provide environmental feedback to affect the development of evolving genetic codes. The feedback given by the Universal Interactor has been used to guide selection of individuals from a population. Adaptive Computing Frazer completes his introduction to the range of tools used in his research by giving a brief tour of adaptive computing techniques. Covering topics including cellular automata, genetic algorithms, classifier systems and artificial evolution. Cellular Automata As previously mentioned Frazer has done some work using cellular automata in both physical and simulated environments. Frazer discusses how surprisingly complex behaviour can result from the simple local rules executed by cellular automata. Cellular automata are also capable of computation, in fact able to perform any computation possible by a finite state machine. Note that this does not mean that cellular automata are capable of any general computation as this would require the construction of a Turing machine which is beyond the capabilities of a finite state machine. Genetic Algorithms Genetic algorithms were first presented by Holland and since have become a important tool for many researchers in various areas.Originally developed for problem-solving and optimization problems with clearly stated criteria and goals. Frazer fails to mention one of the most important differences between genetic algorithms and other adaptive problem-solving techniques, ie. neural networks. Genetic algorithms have the advantage that criteria can be clearly stated and controlled within the fitness function. The learning by example which neural networks rely upon does not afford this level of control over what is to be learned. Classifier Systems Holland went on to develop genetic algorithms into classifier systems. Classifier systems are more focussed upon the problem of learning appropriate responses to stimuli, than searching for solutions to problems. Classifier systems receive information from the environment and respond according to rules, or classifiers. Successful classifiers are rewarded, creating a reinforcement learning environment. Obviously, the mapping between classifier systems and the cybernetic view of organisms sensing, processing and responding to environmental stimuli is strong. It would seem that a central process similar to a classifier system would be appropriate at the core of an organic building. Learning appropriate responses to environmental conditions over time. Artificial Evolution Artificial evolution traces it's roots back to the Biomorph program which was described by Dawkins in his book "The Blind Watchmaker". Essentially, artificial evolution requires that a user supplements the standard fitness function in genetic algorithms to guide evolution. The user may provide selection pressures which are unquantifiable in a stated problem and thus provide a means for dealing ill-defined criteria. Frazer notes that solving problems with ill-defined criteria using artificial evolution seriously limits the scope of problems that can be tackled. The reliance upon user interaction in artificial evolution reduces the practical size of populations and the duration of evolutionary runs. Coding Schemes Frazer goes on to discuss the encoding of architectural designs and their subsequent evolution. Introducing two major systems, the Reptile system and the Universal State Space Modeller. Blueprint vs. Recipe Frazer points out the inadequacies of using standard "blueprint" design techniques in developing organic structures. Using a "recipe" to describe the process of constructing a building is presented as an alternative. Recipes for construction are discussed with reference to the analogous process description given by DNA to construct an organism. The Reptile System The Reptile System is an ingenious construction set capable of producing a wide range of structures using just two simple components. Frazer saw the advantages of this system for rule-based and evolutionary systems in the compactness of structure descriptions. Compactness was essential for the early computational work when computer memory and storage space was scarce. However, compact representations such as those described form very rugged fitness landscapes which are not well suited to evolutionary search techniques. Structures are created from an initial "seed" or minimal construction, for example a compact spherical structure. The seed is then manipulated using a series of processes or transformations, for example stretching, shearing or bending. The structure would grow according to the transformations applied to it. Obviously, the transformations could be a predetermined sequence of actions which would always yield the same final structure given the same initial seed. Alternatively, the series of transformations applied could be environmentally sensitive resulting in forms which were also sensitive to their location. The idea of taking a geometrical form as a seed and transforming it using a series of processes to create complex structures is similar in many ways to the early work of Latham creating large morphological charts. Latham went on to develop his ideas into the "Mutator" system which he used to create organic artworks. Generalising the Reptile System Frazer has proposed a generalised version of the Reptile System to tackle more realistic building problems. Generating the seed or minimal configuration from design requirements automatically. From this starting point (or set of starting points) solutions could be evolved using artificial evolution. Quantifiable and specific aspects of the design brief define the formal criteria which are used as a standard fitness function. Non-quantifiable criteria, including aesthetic judgments, are evaluated by the user. The proposed system would be able to learn successful strategies for satisfying both formal and user criteria. In doing so the system would become a personalised tool of the designer. A personal assistant which would be able to anticipate aesthetic judgements and other criteria by employing previously successful strategies. Ultimately, this is a similar concept to Negroponte's "Architecture Machine" which he proposed would be computer system so personalised so as to be almost unusable by other people. The Universal State Space Modeller The Universal State Space Modeller is the basis of Frazer's current work. It is a system which can be used to model any structure, hence the universal claim in it's title. The datastructure underlying the modeller is a state space of scaleless logical points, called motes. Motes are arranged in a close-packing sphere arrangement, which makes each one equidistant from it's twelve neighbours. Any point can be broken down into a self-similar tetrahedral structure of logical points. Giving the state space a fractal nature which allows modelling at many different levels at once. Each mote can be thought of as analogous to a cell in a biological organism. Every mote carries a copy of the architectural genetic code in the same way that each cell within a organism carries a copy of it's DNA. The genetic code of a mote is stored as a sequence of binary "morons" which are grouped together into spatial configurations which are interpreted as the state of the mote. The developmental process begins with a seed. The seed develops through cellular duplication according to the rules of the genetic code. In the beginning the seed develops mainly in response to the internal genetic code, but as the development progresses the environment plays a greater role. Cells communicate by passing messages to their immediate twelve neighbours. However, it can send messages directed at remote cells, without knowledge of it's spatial relationship. During the development cells take on specialised functions, including environmental sensors or producers of raw materials. The resulting system is process driven, without presupposing the existence of a construction set to use. The datastructure can be interpreted in many ways to derive various phenotypes. The resulting structure is a by-product of the cellular activity during development and in response to the environment. As such the resulting structures have much in common with living organisms which are also the emergent result or by-product of local cellular activity. Primordial Architectural Soups To conclude, Frazer presents some of the most recent work done, evolving fundamental structures using limited raw materials, an initial seed and massive feedback. Frazer proposes to go further and do away with the need for initial seed and start with a primordial soup of basic architectural concepts. The research is attempting to evolve the starting conditions and evolutionary processes without any preconditions. Is there enough time to evolve a complex system from the basic building blocks which Frazer proposes? The computational complexity of the task being embarked upon is not discussed. There is an implicit assumption that the "superb tactics" of natural selection are enough to cut through the complexity of the task. However, Kauffman has shown how self-organisation plays a major role in the early development of replicating systems which we may call alive. Natural selection requires a solid basis upon which it can act. Is the primordial soup which Frazer proposes of the correct constitution to support self-organisation? Kauffman suggests that one of the most important attributes of a primordial soup to be capable of self-organisation is the need for a complex network of catalysts and the controlling mechanisms to stop the reactions from going supracritical. Can such a network be provided of primitive architectural concepts? What does it mean to have a catalyst in this domain? Conclusion Frazer shows some interesting work both in the areas of evolutionary design and self-organising systems. It is obvious from his work that he sympathizes with the opinions put forward by Kauffman that the order found in living organisms comes from both external evolutionary pressure and internal self-organisation. His final remarks underly this by paraphrasing the words of Kauffman, that life is always to found on the edge of chaos. By the "edge of chaos" Kauffman is referring to the area within the ordered regime of a system close to the "phase transition" to chaotic behaviour. Unfortunately, Frazer does not demonstrate that the systems he has presented have the necessary qualities to derive useful order at the edge of chaos. He does not demonstrate, as Kauffman does repeatedly, that there exists a "phase transition" between ordered and chaotic regimes of his systems. He also does not make any studies of the relationship of useful forms generated by his work to phase transition regions of his systems should they exist. If we are to find an organic architecture, in more than name alone, it is surely to reside close to the phase transition of the construction system of which is it built. Only there, if we are to believe Kauffman, are we to find useful order together with environmentally sensitive and thermodynamically open systems which can approach the utility of living organisms.
series	other
type	normal paper
last changed	2004/05/22 14:12

_id	33f3
authors	Fujii, Haruyuki
year	1995
title	Incorporation of Natural Language Processing and a Generative System - An Interactive System that Constructs Topological Models from Spatial Descriptions in Natural Language
source	Sixth International Conference on Computer-Aided Architectural Design Futures [ISBN 9971-62-423-0] Singapore, 24-26 September 1995, pp. 205-218
summary	The natural language processing technique and the spatial reasoning technique are incorporated to create a computational model representing the process of updating and maintaining the knowledge about spatial relations. An algorithm for the spatial reasoning is proposed. An interactive system that understands sentences describing spatial relations is implemented. The system determines the reference of an anaphoric or deictic expression from the literal meaning of the input and the implicit meaning derived from the literal meaning. The consistency of the spatial relations is maintained. The correct topological representations of the spatial relations are generated from well-formed descriptions.
keywords	Natural Language Processing, Discourse Analysis, Artificial Intelligence, Architecture, CAD
series	CAAD Futures
email
last changed	2003/05/16 20:58

_id	ecaade2023_444
id	ecaade2023_444
authors	Gan, Amelia Wen Jiun, Dang, Quoc, Western, Blaine and García del Castillo, Jose Luis
year	2023
title	AI-Mediated Group Ideation
doi	https://doi.org/10.52842/conf.ecaade.2023.2.389
source	Dokonal, W, Hirschberg, U and Wurzer, G (eds.), Digital Design Reconsidered - Proceedings of the 41st Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2023) - Volume 2, Graz, 20-22 September 2023, pp. 389–398
summary	Design charrettes and town hall formats are commonly used in the field of architecture to facilitate group ideation at multiple stages across a variety of stakeholders. Group ideation is critical to generate a wide range of solutions while covering all aspects of a defined problem. However, the format of group ideation often poses a multitude of challenges, including a lack of diverse ideation, difficulties in reaching consensus, imbalanced power dynamics, as well as maintaining focus throughout a group session. This paper explores how recent developments in AI frameworks could be utilized and assembled as a creative mediator in an architectural ideation process. The paper describes a framework and digital interface for AI-mediated group ideation where recent advancements in speech recognition, Natural Language Processing and Text-to-Image generation are leveraged to facilitate brainstorming processes. The paper first delves into the design of the framework and digital interface, taking into account in-person, remote and hybrid contexts, followed by the technical workflow and pilot evaluation methods used in this study. The resulting design is informed by AI-Mediated Communication, group dynamics and behavioral theories, along with core User Experience principles. The result takes the form of a visual ideation and transcription tool that allows users to ideate across conversational and visual methods.
keywords	AI-Mediated Communication, Ideation, Design Thinking, Natural Language Processing, Human-Computer Interaction
series	eCAADe
email
last changed	2023/12/10 10:49

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