Cumincad : CUMINCAD Papers : Search Results

CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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_id	ecaade2018_399
id	ecaade2018_399
authors	Cutellic, Pierre
year	2018
title	UCHRON - An Event-Based Generative Design Software Implementing Fast Discriminative Cognitive Responses from Visual ERP BCI
doi	https://doi.org/10.52842/conf.ecaade.2018.2.131
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 131-138
summary	This research aims at investigating BCI technologies in the broad scope of CAAD applications exploiting early visual cognition in computational design. More precisely, this paper will describe the investigation of key BCI and ML components for the implementation and development of a software supporting this research : Uchron. It will be organised as follows. Firstly, it will introduce the pursued interest and contribution that visual-ERP EEG based BCI application for Generative Design may provide through a synthetic review of precedents and BCI technology. Secondly, selected BCI components will be described and a methodology will be presented to provide an appropriate framework for a CAAD software approach. This section main focus is on the processing component of the BCI. It distinguishes two key aspects of discrimination and generation in its design and proposes a new model based on GAN for modulated adversarial design. Emphasis will be made on the explicit use of inference loops integrating fast human cognitive responses and its individual capitalisation through time in order to reflect towards the generation of design and architectural features.
keywords	Human Computer Interaction; Neurodesign; Generative Design; Design Computing and Cognition; Machine Learning
series	eCAADe
email
last changed	2022/06/07 07:56

_id	cf2019_003
id	cf2019_003
authors	Steinfeld, Kyle; Katherine Park, Adam Menges and Samantha Walker
year	2019
title	Fresh Eyes A framework for the application of machine learning to generative architectural design, and a report of activities at Smartgeometry 2018
source	Ji-Hyun Lee (Eds.) "Hello, Culture!" [18th International Conference, CAAD Futures 2019, Proceedings / ISBN 978-89-89453-05-5] Daejeon, Korea, p. 22
summary	This paper presents a framework for the application of Machine Learning (ML) to Generative Architectural Design (GAD), and illustrates this framework through a description of a series of projects completed at the Smart Geometry conference in May of 2018 (SG 2018) in Toronto. Proposed here is a modest modification of a 3-step process that is well-known in generative architectural design, and that proceeds as: generate, evaluate, iterate. In place of the typical approaches to the evaluation step, we propose to employ a machine learning process: a neural net trained to perform image classification. This modified process is different enough from traditional methods as to warrant an adjustment of the terms of GAD. Through the development of this framework, we seek to demonstrate that generative evaluation may be seen as a new locus of subjectivity in design.
keywords	Machine Learning, Generative Design, Design Methods
series	CAAD Futures
email
last changed	2019/07/29 14:08

_id	caadria2018_314
id	caadria2018_314
authors	Kim, Jin Sung, Song, Jae Yeol and Lee, Jin Kook
year	2018
title	Approach to the Extraction of Design Features of Interior Design Elements Using Image Recognition Technique
doi	https://doi.org/10.52842/conf.caadria.2018.2.287
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. 287-296
summary	This paper aims to propose deep learning-based approach to the auto-recognition of their design features of interior design elements using given digital images. The recently image recognition technique using convolutional neural networks has shown great success in the various field of research and industry. The open-source frameworks and pre-trained image recognition models supporting image recognition task enable us to easily retrain the models to apply them on any domain. This paper describes how to apply such techniques on interior design process and depicts some demonstration results in that approaches. Furniture that is one of the most common interior design elements has sub-feature including implicit design features, such as style, shape, function as well as explicit properties, such as component, materials, and size. This paper shows to retrain the model to extract some of the features for efficiently managing and utilizing such design information. The target element is chair and the target design features are limited to functional features, materials, seating capacity and design style. Total 3933 chair images dataset and 6 retrained image recognition models were utilized for retraining. Through the combination of those multiple models, inference demonstration also has been described.
keywords	Deep learning; Image recognition; Interior design elements; Design feature; Chair
series	CAADRIA
email
last changed	2022/06/07 07:52

_id	acadia18_394
id	acadia18_394
authors	Adel, Arash; Thoma, Andreas; Helmreich, Matthias; Gramazio, Fabio; Kohler, Matthias
year	2018
title	Design of Robotically Fabricated Timber Frame Structures
doi	https://doi.org/10.52842/conf.acadia.2018.394
source	ACADIA // 2018: Recalibration. On imprecisionand infidelity. [Proceedings of the 38th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-17729-7] Mexico City, Mexico 18-20 October, 2018, pp. 394-403
summary	This paper presents methods for designing nonstandard timber frame structures, which are enabled by cooperative multi-robotic fabrication at building-scale. In comparison to the current use of automated systems in the timber industry for the fabrication of plate-like timber frame components, this research relies on the ability of robotic arms to spatially assemble timber beams into bespoke timber frame modules. This paper investigates the following topics: 1) A suitable constructive system facilitating a just-in-time robotic fabrication process. 2) A set of assembly techniques enabling cooperative multi-robotic spatial assembly of bespoke timber frame modules, which rely on a man-machine collaborative scenario. 3) A computational design process, which integrates architectural requirements, fabrication constraints, and assembly logic. 4) Implementation of the research in the design and construction of a multi-story building, which validates the developed methods and highlights the architectural implications of this approach.
keywords	full paper, fabrication & robotics, generative design, computation, timber architecture
series	ACADIA
type	paper
email
last changed	2022/06/07 07:54

_id	acadia22pr_124
id	acadia22pr_124
authors	Ago, Viola; Tursack, Hans
year	2022
title	Understorey - A Pavilion in Parts
source	ACADIA 2022: Hybrids and Haecceities [Projects Catalog of the 42nd Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9860805-7-4]. University of Pennsylvania Stuart Weitzman School of Design. 27-29 October 2022. edited by M. Akbarzadeh, D. Aviv, H. Jamelle, and R. Stuart-Smith. 124-129.
summary	In the summer of 2018, our collaboration was awarded a University Design Fellowship from the Exhibit Columbus organization to design, fabricate, and build a large pavilion in Columbus, Indiana as part of a biannual contemporary architecture exhibition. Our proposal for the competition was a pavilion that would double as an ecological education center. Our inspiration for this program was triggered in part by our reading of Jane Bennett’s materialist philosophy outlined in her book Vibrant Matter (2009). Through Bennett’s lens, our design rendered our site’s context as an animate field, replete with pre-existing material composites that we wanted to celebrate through a series of displays, information boards, and artificial lighting. In this, the installation would feature samples of local plants, minerals, and rocks, indigenous to Southern Indiana.
series	ACADIA
type	project
email
last changed	2024/02/06 14:06

_id	ijac201816406
id	ijac201816406
authors	As, Imdat; Siddharth Pal and Prithwish Basu
year	2018
title	Artificial intelligence in architecture: Generating conceptual design via deep learning
source	International Journal of Architectural Computing vol. 16 - no. 4, 306-327
summary	Artificial intelligence, and in particular machine learning, is a fast-emerging field. Research on artificial intelligence focuses mainly on image-, text- and voice-based applications, leading to breakthrough developments in self-driving cars, voice recognition algorithms and recommendation systems. In this article, we present the research of an alternative graph- based machine learning system that deals with three-dimensional space, which is more structured and combinatorial than images, text or voice. Specifically, we present a function-driven deep learning approach to generate conceptual design. We trained and used deep neural networks to evaluate existing designs encoded as graphs, extract significant building blocks as subgraphs and merge them into new compositions. Finally, we explored the application of generative adversarial networks to generate entirely new and unique designs.
keywords	Architectural design, conceptual design, deep learning, artificial intelligence, generative design
series	journal
email
last changed	2019/08/07 14:04

_id	acadia18_36
id	acadia18_36
authors	Austin, Matthew; Matthews, Linda
year	2018
title	Drawing Imprecision. The digital drawing as bits and pixels
doi	https://doi.org/10.52842/conf.acadia.2018.036
source	ACADIA // 2018: Recalibration. On imprecisionand infidelity. [Proceedings of the 38th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-17729-7] Mexico City, Mexico 18-20 October, 2018, pp. 36-45
summary	This paper explores the consequences of digitizing the architectural drawing. It argues that the fundamental unit of drawing has shifted from “the line” to an interactive partnership between bits and pixels. It also reveals how the developmental focus of imaging technology has been to synthesize and imitate the line using bits and pixels, rather than to explore their innate productive value and aesthetic potential. Referring to variations of the architectural drawing from a domestic typology, the paper uses high-precision digital tools tailored to quantitative image analysis and digital tools that sit outside the remit of architectural production, such as word processing, to present a new range of drawing techniques. By applying a series of traditional analytical procedures to the image, it reveals how these maneuvers can interrogate and dislocate any predetermined formal normalization. The paper reveals that the interdisciplinary repurposing of precise digital toolsets therefore has explicit disciplinary consequences. These arise as a direct result of the recalibration of scale, the liberation of the bit’s representational capacity, and the pixel’s properties of color and brightness. It concludes by proposing that deliberate instances of translational imprecision are highly productive, because by liberating the fundamental qualitative properties of the fundamental digital units, these techniques shift the disciplinary agency of the architectural drawing
keywords	full paper, imprecision, representation, recalibration, theory, glitch aesthetics, algorithmic design, process
series	ACADIA
type	paper
email
last changed	2022/06/07 07:54

_id	ecaadesigradi2019_425
id	ecaadesigradi2019_425
authors	Betti, Giovanni, Aziz, Saqib and Ron, Gili
year	2019
title	Pop Up Factory : Collaborative Design in Mixed Rality - Interactive live installation for the makeCity festival, 2018 Berlin
doi	https://doi.org/10.52842/conf.ecaade.2019.3.115
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 3, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 115-124
summary	This paper examines a novel, integrated and collaborative approach to design and fabrication, enabled through Mixed Reality. In a bespoke fabrication process, the design is controlled and altered by users in holographic space, through a custom, multi-modal interface. Users input is live-streamed and channeled to 3D modelling environment,on-demand robotic fabrication and AR-guided assembly. The Holographic Interface is aimed at promoting man-machine collaboration. A bespoke pipeline translates hand gestures and audio into CAD and numeric fabrication. This enables non-professional participants engage with a plethora of novel technology. The feasibility of Mixed Reality for architectural workflow was tested through an interactive installation for the makeCity Berlin 2018 festival. Participants experienced with on-demand design, fabrication an AR-guided assembly. This article will discuss the technical measures taken as well as the potential in using Holographic Interfaces for collaborative design and on-site fabrication.Please write your abstract here by clicking this paragraph.
keywords	Holographic Interface; Augmented Reality; Multimodal Interface; Collaborative Design; Robotic Fabrication; On-Site Fabrication
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:52

_id	acadia18_176
id	acadia18_176
authors	Bidgoli, Ardavan; Veloso,Pedro
year	2018
title	DeepCloud. The Application of a Data-driven, Generative Model in Design
doi	https://doi.org/10.52842/conf.acadia.2018.176
source	ACADIA // 2018: Recalibration. On imprecisionand infidelity. [Proceedings of the 38th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-17729-7] Mexico City, Mexico 18-20 October, 2018, pp. 176-185
summary	Generative systems have a significant potential to synthesize innovative design alternatives. Still, most of the common systems that have been adopted in design require the designer to explicitly define the specifications of the procedures and in some cases the design space. In contrast, a generative system could potentially learn both aspects through processing a database of existing solutions without the supervision of the designer. To explore this possibility, we review recent advancements of generative models in machine learning and current applications of learning techniques in design. Then, we describe the development of a data-driven generative system titled DeepCloud. It combines an autoencoder architecture for point clouds with a web-based interface and analog input devices to provide an intuitive experience for data-driven generation of design alternatives. We delineate the implementation of two prototypes of DeepCloud, their contributions, and potentials for generative design.
keywords	full paper, design tools software computing + gaming, ai & machine learning, generative design, autoencoders
series	ACADIA
type	paper
email
last changed	2022/06/07 07:52

_id	caadria2018_278
id	caadria2018_278
authors	Caetano, In?s, Ilunga, Guilherme, Belém, Catarina, Aguiar, Rita, Feist, Sofia, Bastos, Francisco and Leit?o, António
year	2018
title	Case Studies on the Integration of Algorithmic Design Processes in Traditional Design Workflows
doi	https://doi.org/10.52842/conf.caadria.2018.1.111
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 1, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 111-120
summary	Algorithmic design processes have enormous potential for architecture. Even though some large design offices have already incorporated such processes in their workflow, so far, these have not been seriously considered by the large majority of traditional small-scale studios. Nevertheless, as the integration of algorithmic techniques inside architectural studios does not require mastering programming skills, but rather taking advantage of a collaborative design process, small design studios are therefore able of using such strategies within their workflow. This paper discusses a series of challenges presented by one of these studios, where we had to integrate algorithmic design processes with the studio's traditional workflow.
keywords	Collaborative design; Algorithmic design; Design strategies; Design workflow processes
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	ecaade2018_164
id	ecaade2018_164
authors	Chang, Mei-Chih, Buš, Peter, Tartar, Ayça, Chirkin, Artem and Schmitt, Gerhard
year	2018
title	Big-Data Informed Citizen Participatory Urban Identity Design
doi	https://doi.org/10.52842/conf.ecaade.2018.2.669
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 669-678
summary	The identity of an urban environment is important because it contributes to self-identity, a sense of community, and a sense of place. However, under present-day conditions, the identities of expanding cities are rapidly deteriorating and vanishing, especially in the case of Asian cities. Therefore, cities need to build their urban identity, which includes the past and points to the future. At the same time, cities need to add new features to improve their livability, sustainability, and resilience. In this paper, using data mining technologies for various types of geo-referenced big data and combine them with the space syntax analysis for observing and learning about the socioeconomic behavior and the quality of space. The observed and learned features are identified as the urban identity. The numeric features obtained from data mining are transformed into catalogued levels for designers to understand, which will allow them to propose proper designs that will complement or improve the local traditional features. A workshop in Taiwan, which focuses on a traditional area, demonstrates the result of the proposed methodology and how to transform a traditional area into a livable area. At the same time, we introduce a website platform, Quick Urban Analysis Kit (qua-kit), as a tool for citizens to participate in designs. After the workshop, citizens can view, comment, and vote on different design proposals to provide city authorities and stakeholders with their ideas in a more convenient and responsive way. Therefore, the citizens may deliver their opinions, knowledge, and suggestions for improvements to the investigated neighborhood from their own design perspective.
keywords	Urban identity; unsupervised machine learning; Principal Component Analysis (PCA); citizen participated design; space syntax
series	eCAADe
email
last changed	2022/06/07 07:56

_id	ecaade2018_268
id	ecaade2018_268
authors	Cheang, Jeremy Jenn Ren and Loh, Paul
year	2018
title	FOAM - Custom Single Task Construction Robot
doi	https://doi.org/10.52842/conf.ecaade.2018.1.157
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 1, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 157-164
summary	This paper discusses the design and fabrication of a novel in-situ fabrication system for building cladding envelope. The construction industry has utilised automation in onsite construction for many decades. This research examines how through the automation process, different construction techniques can be combined to generate a new system that is both performance and design lead. Through abstracting generative effects through the design process, the results are feedback into the fabrication process to construct a more meaningful dialogue between form, material and fabrication procedure. Using electronic prototyping, the researchers tested the system through large-scale prototypes. The paper concludes by discussing the interaction between material and design. We examine how this is evident in the machine workflow. The article addresses the theme of the conference through examining a revision of tool in design that embodied research knowledge for a more sustainable environment.
keywords	Digital Fabrication, Design workflow, Automation
series	eCAADe
email
last changed	2022/06/07 07:55

_id	acadia18_386
id	acadia18_386
authors	Chen, Canhui; Burry, Jane
year	2018
title	(Re)calibrating Construction Simplicity and Design Complexity
doi	https://doi.org/10.52842/conf.acadia.2018.386
source	ACADIA // 2018: Recalibration. On imprecisionand infidelity. [Proceedings of the 38th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-17729-7] Mexico City, Mexico 18-20 October, 2018, pp. 386-393
summary	Construction simplicity is crucial to cost control, however design complexity is often necessary in order to meet particular spatial performance criteria. This paper presents a case study of a semi-enclosed meeting pod that has a brief that must contend with the seemingly contradictory conditions of the necessary geometric complexities imperative to improved acoustic performance and cost control in construction. A series of deep oculi are introduced as architectural elements to link the pod interior to the outside environment. Their reveals also introduce sound reflection and scattering, which contribute to the main acoustic goal of improved speech privacy. Represented as a three-dimensional funnel like shape, the reveal to each opening is unique in size, depth and angle. Traditionally, the manufacturing of such bespoke architectural elements in many cases resulted in lengthy and costly manufacturing processes. This paper investigates how the complex oculi shape variations can be manufactured using one universal mold. A workflow using mathematical and computational operations, a standardized fabrication approach and customization through tooling results in a high precision digital process to create particular calculated geometries, recalibrated at each stage to account for the paradoxical inexactitudes and inevitable tolerances.
keywords	work in progress,tolerance, developable surface, form finding, construction simplicity, material behavior
series	ACADIA
type	paper
email
last changed	2022/06/07 07:55

_id	ecaade2018_301
id	ecaade2018_301
authors	Cocho-Bermejo, Ana, Birgonul, Zeynep and Navarro-Mateu, Diego
year	2018
title	Adaptive & Morphogenetic City Research Laboratory
doi	https://doi.org/10.52842/conf.ecaade.2018.2.659
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 659-668
summary	"Smart City" business model is guiding the development of future metropolises. Software industry sales to town halls for city management services efficiency improvement are, these days, a very pro?table business. Being the model decided by the industry, it can develop into a dangerous situation in which the basis of the new city design methodologies is decided by agents outside academia expertise. Drawing on complex science, social physics, urban economics, transportation theory, regional science and urban geography, the Lab is dedicated to the systematic analysis of, and theoretical speculation on, the recently coined "Science of Cities" discipline. On the research agenda there are questions arising from the synthesis of architecture, urban design, computer science and sociology. Collaboration with citizens through inclusion and empowerment, and, relationships "City-Data-Planner-Citizen" and "Citizen-Design-Science", configure Lab's methodology provoking a dynamic responsive process of design that is yet missing on the path towards the real responsive city.
keywords	Smart City; Morphogenetic Urban Design; Internet of Things; Building Information Modelling; Evolutionary Algorithms; Machine Learning & Artificial Intelligence
series	eCAADe
email
last changed	2022/06/07 07:56

_id	caadria2018_333
id	caadria2018_333
authors	Cupkova, Dana, Byrne, Daragh and Cascaval, Dan
year	2018
title	Sentient Concrete - Developing Embedded Thermal and Thermochromic Interactions for Architecture and Built Environment
doi	https://doi.org/10.52842/conf.caadria.2018.2.545
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. 545-554
summary	Historically, architectural design focused on adaptation of built environment to serve human needs. Recently embedded computation and digital fabrication have advanced means to actuate physical infrastructure in real-time. These 'reactive spaces' have typically explored movement and media as a means to achieve reactivity and physical deformation (Chatting et al. 2017). However, here we recontextualize 'reactive' as finding new mechanisms for permanent and non-deformable everyday materials and environments. In this paper, we describe our ongoing work to create a series of complex forms - modular concrete panels - using thermal, tactile and thermochromic responses controlled by embedded networked system. We create individualized pathways to thermally actuate these surfaces and explore expressive methods to respond to the conditions around these forms - the environment, the systems that support them, their interaction and relationships to human occupants. We outline the design processes to achieve thermally adaptive concrete panels, illustrate interactive scenarios that our system enables, and discuss opportunities for new forms of interactivity within the built environment.
keywords	Responsive environments; Geometrically induced thermodynamics; Ambient devices; Internet of things; Modular electronic systems
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	sigradi2018_1879
id	sigradi2018_1879
authors	Danesh Zand, Foroozan; Baghi, Ali; Kalantari, Saleh
year	2018
title	Digitally Fabricating Expandable Steel Structures Using Kirigami Patterns
source	SIGraDi 2018 [Proceedings of the 22nd Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Brazil, São Carlos 7 - 9 November 2018, pp. 724-731
summary	This article presents a computational approach to generating architectural forms for large spanning structures based on a “paper-cutting” technique. In this traditional artform, a flat sheet is cut and scored in such a way that a small application of force prompts it to expand into a three-dimensional structure. To make these types of expandable structures feasible at an architectural scale, four challenges had to be met during the research. The first was to map the kinetic properties of a paper-cut model, investigating formative parameters such as the width and frequency of cuts to determine how they affect the resulting structure. The second challenge was to computationally simulate the paper-cut structure in an accurate fashion. We accomplished this task using finite element analysis in the Ansys software platform. The third challenge was to create a prediction model that could precisely forecast the characteristics of a paper-cutting pattern. We made significant strides in this demanding task by using a data-mining approach and regression analysis through 400 simulations of various cutting patterns. The final challenge was to verify the efficiency and accuracy of our prediction model, which we accomplished through a series of physical prototypes. Our resulting computational paper-cutting system can be used to estimate optimal cutting patterns and to predict the resulting structural characteristics, thereby providing greater rigor to what has previously been an ad-hoc and experimental design approach.
keywords	Transformable Paper-cut; Design method; Prediction Model; Regression analysis; Physical prototype
series	SIGRADI
email
last changed	2021/03/28 19:58

_id	ecaade2018_438
id	ecaade2018_438
authors	Das, Subhajit
year	2018
title	Interactive Artificial Life Based Systems, Augmenting Design Generation and Evaluation by Embedding Expert Opinion - A Human Machine dialogue for form finding.
doi	https://doi.org/10.52842/conf.ecaade.2018.1.085
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 1, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 85-94
summary	Evolution of natural life and subsequently selection of life forms is an interesting topic that has been explored multiple times. This area of research and its application has high relevance in evolutionary design and automated design generation. Taking inspiration from Charles Darwin's theory, all biological species were formed by the process of evolution based on natural selection of the fittest (Darwin, n.d.) this paper explains exploratory research showcasing semi-automatic design generation. This is realized by an interactive artificial selection tool, where the designer or the end user makes key decisions steering the propagation and breeding of future design artifacts. This paper, describes two prototypes and their use cases, highlighting interaction based optimal design selection. One of the prototypes explains a 2d organic shape creator using a metaball shape approach, while the other discusses a spatial layout generation technique for conceptual design.
keywords	design generation; implicit surfaces; artificial life; decision making; artificial selection; spatial layout generation
series	eCAADe
email
last changed	2022/06/07 07:55

_id	ecaade2018_231
id	ecaade2018_231
authors	Di Mascio, Danilo, Kepczynska-Walczak, Anetta, Webb, Nicholas and Schnabel, Marc Aurel
year	2018
title	A Critical Evaluation of Two Contextualised Digital Heritage Workshops - Descriptions, reflections and future directions
doi	https://doi.org/10.52842/conf.ecaade.2018.2.189
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 189-198
summary	In the following paper, a description, a comparison, a series of reflections, and future directions of two successful Contextualized Digital Heritage Workshops (CDHW) will be presented. The workshops have been organized during the eCAADe and CAADRIA conferences. The importance of architectural heritage as an expression of a local history and identity in a world that is more and more globalised is evident. Multidisciplinary and interdisciplinary approaches, together with the use of digital technologies open new opportunities in the comprehension, documentation, analysis, reuse and dissemination of architectural heritage. The main concept behind a CDHW is to connect the event (and its wide variety of participants) to a specific local context in a multidisciplinary way. The paper defines and proposes a methodology to critically evaluate the two workshops and their individual aspects in order to identify and investigate ideas that can be explored during future CDHWs.
keywords	digital heritage; workshops; context; design; collaboration
series	eCAADe
email
last changed	2022/06/07 07:55

_id	ijac201816401
id	ijac201816401
authors	Doyle, Shelby and Nick Senske
year	2018
title	Digital provenance and material metadata: Attribution and co-authorship in the age of artificial intelligence
source	International Journal of Architectural Computing vol. 16 - no. 4, 271-280
summary	This speculative essay examines a single drawing, produced in a collaboration between the authors and a Turtle robot, in a search for methods to evaluate and document provenance in artificial intelligence and robotic design. Reflecting upon the layers of authorship in our case study reveals the complex relationship that already exists between human and machine collaborators. In response to this unseen provenance, we propose new modes to document the full range of creative contribution to the design and production of artifacts from intellectual inputs to digital representations to physical labor. A more comprehensive system for artificial intelligence/robotic attribution could produce counter- narratives to technological development which more fully acknowledge the contributions of both humans and machines. As artificially intelligent design technologies distinguish themselves with distinct capabilities and eventual autonomy, a system of embedded attribution becomes the basis for human–machine collaboration, indeterminacy, and unexpected new applications for existing tools and methods.
keywords	Artificial intelligence, robotics, metadata, attribution, co-authorship, ethics
series	journal
email
last changed	2019/08/07 14:04

_id	ecaaderis2018_109
id	ecaaderis2018_109
authors	Fereos, Pavlos and Tsiliakos, Marios
year	2018
title	Lucid Foam - Multi-Axis Robotic Hot-Wire Cutting for Translucency
source	Odysseas Kontovourkis (ed.), Sustainable Computational Workflows [6th eCAADe Regional International Workshop Proceedings / ISBN 9789491207143], Department of Architecture, University of Cyprus, Nicosia, Cyprus, 24-25 May 2018, pp. 123-130
keywords	Hotwire cutting of Styrofoam or Polystyrene has been a popular tool for developing fast prototypes by the architectural community. The introduction of multi-axis industrial robots in the architectural curriculum, and the enhancement of the design to fabrication process by software bridging the gap, provided an alternative meaning to the traditional mostly representational process of hotwire cutting.This paper sets out to document and assess the procedural methodology and the results of a series of integrated design to fabrication experiments that took place in the Institut für Experimentelle Architektur-Hochbau. By channelling design intention towards a component assembly for a translucent effect, students were asked to utilise industrial robots to fabricate and prototype via hotwire cutting, designs that refer to architectural elements. These elements, mainly due to their scale and the commercial availability of bulk Styrofoam panels, can lead to functional or ornamental representations of discrete elements, which can be assembled together as part of a greater design.
series	eCAADe
email
last changed	2018/05/29 14:33

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