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	cf2019_009
id	cf2019_009
authors	Veloso, Pedro; Jinmo Rhee and Ramesh Krishnamurti
year	2019
title	Multi-agent space planning: a literature review (2008-2017)
source	Ji-Hyun Lee (Eds.) "Hello, Culture!" [18th International Conference, CAAD Futures 2019, Proceedings / ISBN 978-89-89453-05-5] Daejeon, Korea, pp. 52-74
summary	In this paper we review the research on multi-agent space planning (MASP) during the period of 2008-2017. By MASP, we refer to space planning (SP) methods based on online mobile agents that map local perceptions to actions in the environment, generating spatial representation. We group two precedents and sixteen recent MASP prototypes into three categories: (1) agents as moving spatial units, (2) agents that occupy a space, and (3) agents that partition a space. In order to compare the prototypes, we identify the occurrence of features in terms of representation, objectives, and control procedures. Upon analysis of occurrences and correlations of features in the types, we present gaps and challenges for future MASP research. We point to the limits of current systems to solve spatial conflicts and to incorporate architectural knowledge. Finally, we suggest that behavioral learning offers a promising path for robust and autonomous MASP systems in the architectural domain.
keywords	Space planning; Agent-based modeling; Multi-agent systems; Generative systems
series	CAAD Futures
email
last changed	2019/07/29 14:08

_id	caadria2019_202
id	caadria2019_202
authors	Yang, Chunxia, Gu, Zhuoxing and Yao, Ziying
year	2019
title	Adaptive Urban Design Research based on Multi-Agent System - Taking The Urban Renewal Design Of Shanghai Hongkou Port Area As An Example
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. 225-234
doi	https://doi.org/10.52842/conf.caadria.2019.1.225
summary	Utilizing digital method to establish a multi-agent simulation platform and establish an interactive simulation between site elements and agents particles behavior. In this study, urban space could not have the absolute frozen state, it is always evolving and self-renewing. We hope to integrate such unstable relationships into urban design methods and programs. By constructing various type of agent particles and the interaction behaviors, we not only directly simulate the flow of people or traffic, but also simulate the public space relationship such as line of sight space, waterfront space accessibility, commercial supporting function layout, and historical and cultural block attraction from a more abstract level. From macro to micro, the result of spatial simulation has an intrinsic close causal relationship with the site's landform, building status, site function, and planning pattern, can be the basis for space generation.
keywords	Self-organization; Multi-agent System; Cluster City; Particle Personality; Site Elements
series	CAADRIA
email
last changed	2022/06/07 07:57

_id	caadria2019_204
id	caadria2019_204
authors	Calixto, Victor, Gu, Ning and Celani, Gabriela
year	2019
title	A Critical Framework of Smart Cities Development
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 2, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 685-694
doi	https://doi.org/10.52842/conf.caadria.2019.2.685
summary	This paper investigates through a review of the current literature on smart cities, reflecting different concepts across different political-social contexts, seeking to contribute to the establishment of a critical framework for smart cities development. The present work provides a review of the literature of 250 selected publications from four databases (Scielo, ScienceDirect, worldwide science, and Cumincad), covering the years from 2012 to 2018. Publications were categorised by the following steps: 3RC framework proposed by Kummitha and Crutzen (2017), the main political sectors of city planning, implementation strategies, computational techniques, and organisation rules. The information was analised graphically trying to identify tendencies along the time, and also, seeking to explore future possibilities for implementations in different political-social contexts. As a case of study, Australia and Brazil were compared using the proposed framework.
keywords	smart city; smart cities; literature review
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	caadria2019_491
id	caadria2019_491
authors	Cai, Chenyi, Tang, Peng and Li, Biao
year	2019
title	Intelligent Generation of Architectural layout inheriting spatial features of Chinese Garden Based on Prototype and Multi-agent System - A Case Study on Lotus Teahouse in Yixing
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. 291-300
doi	https://doi.org/10.52842/conf.caadria.2019.1.291
summary	This study presents an approach for the intelligent generation of architectural layout, in which partial space inherits Chinese garden spatial features. The approach combines spatial prototype analysis and evolutionary optimization process. On one hand, from the perspective of shape grammar, this paper both analyzes and abstracts the spatial prototype that describes the spatial characteristics of Chinese gardens, including the organization system of architecture and landscape, with the spatial sequences along the tourism orientation. On the other hand, taking the design task of Lotus teahouse as an example, a typical spatial prototype is selected to develop the generative intelligent experiment to achieve the architectural layout, in which the spatial prototype is inherited. Through rule-making and parameter adjustment, the spatial prototype will eventually be transformed into a computational model based on the multi-agent system. Hence, the experiment of intelligent generation of architectural layout is carried out under the influence of the function, form and environmental factors; and a three-dimensional conceptual model that inherits the Chinese garden spatial prototype is obtained ultimately.
keywords	Chinese garden; Architectural layout; Spatial prototype; Multi-agent system; Intelligent generation
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	caadria2019_362
id	caadria2019_362
authors	Lee, Jaejong, Ikeda, Yasushi and Hotta, Kensuke
year	2019
title	Comparative Evaluation of Viewing Elements by Visibility Heat Map of 3D Isovist - Urban planning experiment for Shinkiba in Tokyo Bay
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. 341-350
doi	https://doi.org/10.52842/conf.caadria.2019.1.341
summary	This paper presents a visibility analysis for 3D urban environments and its possible applications for urban design. This multi-view visibility analysis tool was generated by 3D isovist in Grasshopper, Rhino. The advantage of this analysis tool is that it can be compared within the measurement area. In addition, setting a visual object different from the existing isovist. The visual object is a landmark of a city space, such as landscape or object. First, the application experimented on the relevance between the calculation time and precision by this analysis tool. Based on the results of this experiment, it applied it to an actual part of an urban space. The multi-view visibility includes confirming the possibility of a comprehensive evaluation on the urban redevelopment and change of the view caused by the building layout plan - by numerical analysis showing the visual characteristics of the area while using 3D isovist theory. The practically applied area is Shinkiba, which is a part of Tokyo's landfill site; and while using the calculated data, multi-view visibility of each plan in the simulation of the visibility map is compared and evaluated.
keywords	3D isovist; Multi-view visibility; Comprehensive integration visibility evaluation; Urban redevelopment; Algorithmic urban design
series	CAADRIA
email
last changed	2022/06/07 07:51

_id	cf2019_047
id	cf2019_047
authors	Schaumann, Davide ;Samuel S. Sohn, Muhammad Usman, Brandon Haworth, Petros Faloutsos and Mubbasir Kapadia
year	2019
title	Spatiotemporal Influence and Affordance Maps for Occupant Behavior Simulation
source	Ji-Hyun Lee (Eds.) "Hello, Culture!" [18th International Conference, CAAD Futures 2019, Proceedings / ISBN 978-89-89453-05-5] Daejeon, Korea, pp. 412-429
summary	Simulating the impact that built environments produce on human behavior prior to a building’s construction and occupancy is a complex task in architectural design. Current simulation approaches provide a limited representation of how dynamic spatial, social and environmental conditions affect the behavior of autonomous virtual occupants. We address this issue by means of influence maps – spatial representations of the influence that dynamic stimuli exert on an occupant at a specific time. To support an agent’s decisionmaking, we construct affordance maps that determine possible space-occupant interactions based on the combination of normalized influence maps, weighed by occupant preferences. We demonstrate the proposed approach by simulating the diverse spatial behaviors of virtual occupants in a social setting in response to dynamic stimuli.
keywords	Influence maps, Affordance maps, Spatial behavior Simulation, Building Occupancy, Multi-agent systems
series	CAAD Futures
email
last changed	2019/07/29 14:15

_id	cf2019_034
id	cf2019_034
authors	Usman, Muhammad; Davide Schaumann, Brandon Haworth, Mubbasir Kapadia and Petros Faloutsos
year	2019
title	Joint Parametric Modeling of Buildings and Crowds for Human-Centric Simulation and Analysis
source	Ji-Hyun Lee (Eds.) "Hello, Culture!" [18th International Conference, CAAD Futures 2019, Proceedings / ISBN 978-89-89453-05-5] Daejeon, Korea, p. 256
summary	Simulating groups of virtual humans (crowd simulation) affords the analysis and data-driven design of interactions between buildings and their occupants. For this to be useful in practice however, crowd simulators must be well coupled with modeling tools in a way that allows users to iteratively use simulation feedback to adjust their designs. This is a non-trivial research and engineering task as designers often use parametric exploration tools early in their design pipelines. To address this issue, we propose a platform that provides a joint parametric representation of (a) a building and the bounds of its permissible alterations, (b) a crowd that populates the environment, and (c) the activities that the crowd engages in. Based on this input, users can systematically run simulations and analyze the results in the form of data-maps, spatialized representations of human-centric analyses. The platform combines Dynamo with SteerSuite, two established tools for parametric design and crowd simulations, to create a familiar node-based workow. We systematically evaluate the approach by tuning spatial, social, and behavioral parameters to generate human-centric analyses for the design of a generic exhibition space.
keywords	Human-centric analytics, crowd simulation, parametric modeling, building occupancy, multi-agent systems
series	CAAD Futures
email
last changed	2019/07/29 14:15

_id	caadria2019_640
id	caadria2019_640
authors	Zhang, Ruocheng, Tong, Hanshuang, Huang, Weixin and Zhang, Runzhou
year	2019
title	A Generative Design Method for the Functional Layout of Town Planning based on Multi-Agent System
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 2, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 231-240
doi	https://doi.org/10.52842/conf.caadria.2019.2.231
summary	In recent years, with the development of artificial intelligence and digital architecture, more architects begin to wonder how to generate urban planning and urban design through computational method. For the purpose of generating urban planning digitally using computational algorithms, we design a series of algorithms to develop a system that evaluates initial features of the site such as the strength of sunlight, water, landscape. These parameters related to the function zoning of the town were determined based on the data extracted from case studies. These data were integrated into a Markov chain mathematical model for the sake of analyzing the function of grid points. Finally, an algorithm of a multi-agent system was used to optimize the function that could evaluate the grade of each raster point of the town, which could be used to decide the function of a specific region.
keywords	Generative design, Town planning,Multi-agent system, Data analysis
series	CAADRIA
email
last changed	2022/06/07 07:57

_id	acadia19_80
id	acadia19_80
authors	Bouayad, Ghali
year	2019
title	Three-Dimensional Translation of Japanese Katagami Patterns
source	ACADIA 19:UBIQUITY AND AUTONOMY [Proceedings of the 39th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-59179-7] (The University of Texas at Austin School of Architecture, Austin, Texas 21-26 October, 2019) pp. 80-89
doi	https://doi.org/10.52842/conf.acadia.2019.080
summary	The aim of this ongoing doctoral research is to rely on the incommensurable potential held in Japanese Katagami patterns in order to translate them into three-dimensional speculative architectures and architectural components that afford architects other design approaches differentiated from systemic and typical space configurations. While many designers are diving in the generative and computational design world by developing new personal methods, we would like to recycle the existing production of Katagami patterns into three-dimensional architectural elements that will perpetuate work of Katagami artists beyond time, borders, and scope of applicability. Given that the current digital shift has given us more computation power, we are broadening Katagami with new fabrication strategies and new methods to explore, produce, and stock geometry and data. In this paper, we rely on the Processing library IGeo (developed by Satoru Sugihara) to build bottom-up agent-based algorithms to study the architectural potential of Katagami patterns as a top-down clean and simple initial topology that avoids imitation of standard templates applied during the process of configuring and planning architectural space.
series	ACADIA
type	normal paper
email
last changed	2022/06/07 07:54

_id	cf2019_036
id	cf2019_036
authors	Schwartz, Mathew
year	2019
title	Visualization of Occupant Behavior in an Open Academic Space through Image Analysis
source	Ji-Hyun Lee (Eds.) "Hello, Culture!" [18th International Conference, CAAD Futures 2019, Proceedings / ISBN 978-89-89453-05-5] Daejeon, Korea, p. 272
summary	Between agent simulation and circulation diagrams within design pedagogy, the prediction of occupant movement in space is integral to the informed design process. At the same time, trends in higher education have led to more open-ended spaces that are then studied for the unexpected ways in which students collaborate. These studies, by the unpredictable nature, must be done post-occupancy. In this paper, occupant behavior is visualized from an image dataset over a 9 day period in an open student environment. The methods for extracting behavior through this large dataset are presented. The results are then re?ected on in regard to the role of circulation diagrams for interior design and spatial planning.
keywords	occupant behavior, circulation, computation, post-occupancy evaluation, interior design
series	CAAD Futures
email
last changed	2019/07/29 14:15

_id	ecaadesigradi2019_114
id	ecaadesigradi2019_114
authors	Lee, Gyueun and Lee, Ji-hyun
year	2019
title	Sustainable Design Framework for the Anthropocene - Preliminary research of integrating the urban data with building information
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 2, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 561-568
doi	https://doi.org/10.52842/conf.ecaade.2019.2.561
summary	In terms of the efficiency and informatization in the architecture and construction industry, the Fourth Industrial Revolution presents positive aspects of technological development, but we need to discuss the expanded concept, the Anthropocene. The era of the human-made environment having a powerful influence on the global system is called Anthropocene. Since the 1950s, many indicators representing human activity and earth system have shown the 'Great acceleration'. Currently, lots of urban data including building information, construction waste, and GHG emission ratio is indicating how much the urban area was contaminated with artifacts. So, the integrated planning and design approach are needed for sustainable design with data integration. This paper examines the GIS, LCA and BIM tools focusing on building information and environmental load. With the literature review, the computational system for sustainable design is demonstrated to integrate into one holistic framework for the Anthropocene. There were some limitations that data was simplified during the statistical processing, and the framework has limitations that must be demonstrated by actual data in the future. However, this could be an early approach to integrating geospatial and environmental analysis with the design framework. And it can be applied to another urban area for sustainable urban models for the Anthropocene
keywords	Anthropocene; Sustainable Design Framework; Urban Data Analysis; GIS; LCA; BIM
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:51

_id	caadria2019_610
id	caadria2019_610
authors	Sayah, Iman and Schnabel, Marc Aurel
year	2019
title	Amplifying Citizens' Voices in Smart Cities - An Application of Social Media Sentiment Analysis in Urban Sciences
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 2, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 773-782
doi	https://doi.org/10.52842/conf.caadria.2019.2.773
summary	In the past decade, urban researchers have paid significant attention to the emergence of computer science and urban planning. According to the literature, social media as a pool of real-time citizen feedback can be investigated to inform smart city synergies. However, the success factors of such an approach have not been thoroughly investigated. In this study, various factors were derived from an extensive literature review to create an efficient e-participation platform. It is explained how our proposed platform 1) complies to the data protection regulations 2) uses advanced text analysis and natural language processing (NLP) tools to identify opinions and emotions 3) maintains persistent communication between citizens and city planners 4) incorporates creative visualisation techniques 5) is informative for its target audience 6) takes into consideration the socio-cultural diversity and 7) can be used as an informing tool in combination with offline methods of participation.
keywords	sentiment analysis; e-participation; social media mining; big data analytics; citizen engagement
series	CAADRIA
email
last changed	2022/06/07 07:57

_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
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
doi	https://doi.org/10.52842/conf.ecaade.2019.3.115
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	ecaadesigradi2019_358
id	ecaadesigradi2019_358
authors	Cocho-Bermejo, Ana and Navarro-Mateu, Diego
year	2019
title	User-centered Responsive Sunlight Reorientation System based on Multiagent Decision-making, UDaMaS
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 2, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 695-704
doi	https://doi.org/10.52842/conf.ecaade.2019.2.695
summary	UDaMaS (Universal Daylight Managing System), is a user-centered responsive system for built scenarios that can reorient sunlight to improve light conditions in specific urban environments.This on-going research is based on developing more efficient energy/light supply methods through IoT (internet of things) and data mining based on the improved relationship with technology.A user centered responsive multi-agent system using norm emergence is proposed for controlling the efficiency of sunlight reoriented society of mirror robots. Society of robots will make decisions about which users to serve, depending on the users' requests through the UdaMas app.
keywords	responsive; lighting; user-centric; multi-agent system; artificial intelligence; ambient intelligence
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:56

_id	ecaadesigradi2019_288
id	ecaadesigradi2019_288
authors	da Silva Lopes Vieira, Thomaz and Schulz, Jens-Uwe
year	2019
title	Design Method Aided by MABS and Cloud Computing - Framework integrating: construction techniques, materials, and fabrication
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 1, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 195-205
doi	https://doi.org/10.52842/conf.ecaade.2019.1.195
summary	This paper presents a novel method based in Multi-Agent Based Simulation (MABS), Cloud Computing, and the combination of big data analytics and IoT. The method performs in two layers: it assists designers with information coming from previews of projects and surroundings, and, it automates some procedures according to parameters and interactions between agents. The first part of this paper briefly describes the state of the art and challenges of the real estate market. The second chapter highlight gaps and future challenges in design practice, and in the third chapter, it introduces the method. To conclude, in the last part, this concept is analyzed through a pilot project under development in our institution.
keywords	Computational design; Multi-Agent-Based system; Robotic fabrication; Cyber-Physical Systems; Big Data; Internet of Things
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:56

_id	caadria2019_242
id	caadria2019_242
authors	Davidova, Marie
year	2019
title	Intelligent Informed Landscapes - The Eco-Systemic Prototypical Interventions' Generative and Iterative Co-Designing Co-Performances, Agencies and Processes
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 2, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 151-160
doi	https://doi.org/10.52842/conf.caadria.2019.2.151
summary	The work fights for a shift from Anthropocene in urban environment through both, analogue and digital eco-systemic prototypical urban interventions, mixing biological as well as digital performances of post-digital landscape. It directly engages with the local human and non-human communities as well as it offers its online recipes and codes for DIY local iterations tagged in public space. Such intelligent and informed cultural landscape therefore covers several multi-layered generative and iterative agencies for its self-development.
keywords	Systemic Approach to Architectural Performance; Intelligent Informed Landscapes; Post-Anthropocene; Eco-Systemic Prototypical Urban Interventions ; DIY
series	CAADRIA
type	normal paper
email
last changed	2024/01/09 06:23

_id	acadia19_16
id	acadia19_16
authors	Hosmer, Tyson; Tigas, Panagiotis
year	2019
title	Deep Reinforcement Learning for Autonomous Robotic Tensegrity (ART)
source	ACADIA 19:UBIQUITY AND AUTONOMY [Proceedings of the 39th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-59179-7] (The University of Texas at Austin School of Architecture, Austin, Texas 21-26 October, 2019) pp. 16-29
doi	https://doi.org/10.52842/conf.acadia.2019.016
summary	The research presented in this paper is part of a larger body of emerging research into embedding autonomy in the built environment. We develop a framework for designing and implementing effective autonomous architecture defined by three key properties: situated and embodied agency, facilitated variation, and intelligence.We present a novel application of Deep Reinforcement Learning to learn adaptable behaviours related to autonomous mobility, self-structuring, self-balancing, and spatial reconfiguration. Architectural robotic prototypes are physically developed with principles of embodied agency and facilitated variation. Physical properties and degrees of freedom are applied as constraints in a simulated physics-based environment where our simulation models are trained to achieve multiple objectives in changing environments. This holistic and generalizable approach to aligning deep reinforcement learning with physically reconfigurable robotic assembly systems takes into account both computational design and physical fabrication. Autonomous Robotic Tensegrity (ART) is presented as an extended case study project for developing our methodology. Our computational design system is developed in Unity3D with simulated multi-physics and deep reinforcement learning using Unity’s ML-agents framework. Topological rules of tensegrity are applied to develop assemblies with actuated tensile members. Single units and assemblies are trained for a series of policies using reinforcement learning in single-agent and multi-agent setups. Physical robotic prototypes are built and actuated to test simulated results.
series	ACADIA
type	normal paper
email
last changed	2022/06/07 07:50

_id	ijac201917204
id	ijac201917204
authors	Karaoglan Füsun Cemre and Sema Alaçam
year	2019
title	Design of a post-disaster shelter through soft computing
source	International Journal of Architectural Computing vol. 17 - no. 2, 185-205
summary	Temporary shelters become a more critical subject of architectural design as the increasing number of natural disasters taking place each year result in a larger number of people in need of urgent sheltering. Therefore, this project focuses on designing a temporary living space that can respond to the needs of different post-disaster scenarios and form a modular system through differentiation of units. When designing temporary shelters, it is a necessity to deal with the provision of materials, low-cost production and the time limit in the emergency as well as the needs of the users and the experiential quality of the space. Although computational approaches might lead to much more efficient and resilient design solutions, they have been utilized in very few examples. For that reason and due to their suitability to work with architectural design problems, soft computing methods shape the core of the methodology of the study. Initially, a digital model is generated through a set of rules that define a growth algorithm. Then, Multi-Objective Genetic Algorithms alter this growth algorithm while evaluating different configurations through the objective functions constructed within a Fuzzy Neural Tree. The struggle to represent design goals in the form of Fuzzy Neural Tree holds potential for the further use of it for architectural design problems centred on resilience. Resilience in this context is defined as a measure of how agile a design is when dealing with a major sheltering need in a post-disaster environment. Different from the previous studies, this article aims to focus on the design of a temporary shelter that can respond to different user types and disaster scenarios through mass customization, using Fuzzy Neural Tree as a novel approach. While serving as a temporary space, the design outcomes are expected to create a more neighbourhood-like pattern with a stronger sense of community for the users compared to the previous examples.
keywords	Humanitarian design, emergency architecture, computational design, Fuzzy Neural Tree, Multi-Objective Genetic Algorithms
series	journal
email
last changed	2019/08/07 14:04

_id	caadria2019_326
id	caadria2019_326
authors	Lai, Po Yan, Kim, Meereh, Choi, Minkyu, Lee, Chae-Seok, Porcellini, Valentin, Yi, Taeha and Lee, Ji-Hyun
year	2019
title	Framework of Judgment System for Smart Home Assistant Utilizing Collective Intelligence Case-Based Reasoning
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. 695-704
doi	https://doi.org/10.52842/conf.caadria.2019.1.695
summary	This paper proposes a framework of judgment system for smart home assistant that utilizes Collective Intelligence Case Based Reasoning (CI-CBR). CBR is suitable for the smart home environment with its system adaptability to the changeful user scenarios. However, existing CBR solutions have shown relatively low accuracy in service recommendation. This research therefore aims at enhancing the accuracy by introducing collective intelligence into the recommendation system. Assuming that multiple agents will make better decision than single agent, we adopted a multi-agent approach to generate the most similar case, which represents the optimal recommendation from the case base. This paper describes how our system enables agents adopting different similarity measures come to an agreement about the most similar case by the means of majority voting in the judging process. Our framework of a collective judgment system demonstrates its potentials to improve recommendation accuracy, and further enhance the performance of existing smart home assistants.
keywords	Collective Intelligence; Case Based Reasoning; Smart home; Service recommendation; Multi-agent system
series	CAADRIA
email
last changed	2022/06/07 07:52

_id	caadria2019_134
id	caadria2019_134
authors	Li, Yunqin, Zhang, Jiaxin and Yu, Chuanfei
year	2019
title	Intelligent Multi-Objective Optimization Method for Complex Building Layout based on Pedestrian Flow Organization - A case study of People's Court building in Anhui, China
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. 271-280
doi	https://doi.org/10.52842/conf.caadria.2019.1.271
summary	The pedestrian flow of the building influences and determines the layout of the building's plan. For buildings with complex flow such as courts, airports, and stations, mixed flow line and low traffic efficiency are prone to be problems. However, the optimization of the layout of complex flow buildings usually relies on the architect's experience to judge and trials to improve. To overcome these problems, we attempt to establish a parametric model of buildings' plan (taking a typical court building as an example) with information about the different pedestrian flow and functional groups. Based on the Rhino and Grasshopper platform, we take the minimum of different pedestrian flow path length and the maximum of total spatial integration value and the minimum of total spatial entropy value as the starting point, combines pathfinding algorithm, Space Syntax and multi-objective genetic algorithm to optimize space allocation. The result shows that, compared with the original scheme, the intelligent optimised scheme can reduce the spatial waste caused by improper flow organisation, effectively improve space transportation capacity and spatial organization efficiency.
keywords	Intelligent optimisation; space allocation; multi-objective optimization algorithm; Space Syntax; pathfinding algorithm
series	CAADRIA
email
last changed	2022/06/07 07:51

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