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	ascaad2022_105
id	ascaad2022_105
authors	Morsi, Nihal; Kamel, Shaimaa; Sabry, Hanan; Assem, Ayman
year	2022
title	Computational Design for Architectural Space Planning of Commercial Exhibitions: A Framework for Visitors Interaction using Parametric Design and Agent-based Modeling
source	Hybrid Spaces of the Metaverse - Architecture in the Age of the Metaverse: Opportunities and Potentials [10th ASCAAD Conference Proceedings] Debbieh (Lebanon) [Virtual Conference] 12-13 October 2022, pp. 361-376
summary	Using computational tools for evaluating spatial layouts of commercial exhibitions provides an opportunity for assessment of performance before execution. However, most evaluation techniques take into consideration only the physical qualities of the built environment, excluding important factors such as crowds. Crowds are essentially dynamic obstacles that hinder visibility and can induce flight response, but they are also a sign of good exposure when in reasonable amounts. This is mostly due to the challenge of quantifying spatial qualities such as users’ interaction and movement for computational representations. This paper proposes a framework using agent-based modeling for simulating user interaction in commercial exhibition spaces combined with a parametric representation of the built environment. The framework is then evaluated by applying it to a case-study of three layout scenarios in a generic exhibition hall. The simulation results show that layouts with vertical aisles, and less horizontal aisles have better footfall distribution.
series	ASCAAD
email
last changed	2024/02/16 13:38

_id	ecaade2022_176
id	ecaade2022_176
authors	Kotov, Anatolii, Starke, Rolf and Vukorep, Ilija
year	2022
title	Spatial Agent-based Architecture Design Simulation Systems
doi	https://doi.org/10.52842/conf.ecaade.2022.2.105
source	Pak, B, Wurzer, G and Stouffs, R (eds.), Co-creating the Future: Inclusion in and through Design - Proceedings of the 40th Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2022) - Volume 2, Ghent, 13-16 September 2022, pp. 105–112
summary	This paper presents case studies and analysis of agent-based reinforcement learning (RL) systems towards practical applications for specific architecture/engineering tasks using Unity 3D-based simulation methods. Finding and implementing sufficient abstraction for architecture and engineering problems to be solved by agent-based systems requires broad architectural knowledge and the ability to break down complex problems. Modern artificial intelligence (AI) and machine learning (ML) systems based on artificial neural networks can solve complex problems in different domains such as computer vision, language processing, and predictive maintenance. The paper will give a theoretical overview, such as more theoretical abstractions like zero-sum games, and a comparison of presented games. The application section describes a possible categorization of practical usages. From more general applications to more narrowed ones, we explore current possibilities of RL application in the field of relatable problems. We use the Unity 3D engine as the basis of a robust simulation environment.
keywords	AI Aided Architecture, Reinforcement Learning, Agent Simulation
series	eCAADe
email
last changed	2024/04/22 07:10

_id	sigradi2022_298
id	sigradi2022_298
authors	Perry, Isha N.; Xue, Zhouyi; Huang, Hui-Ling; Crispe, Nikita; Vegas, Gonzalo; Swarts, Matthew; Gomez Z., Paula
year	2022
title	Human Behavior Simulations to Determine Best Strategies for Reducing COVID-19 Risk in Schools
source	Herrera, PC, Dreifuss-Serrano, C, Gómez, P, Arris-Calderon, LF, Critical Appropriations - Proceedings of the XXVI Conference of the Iberoamerican Society of Digital Graphics (SIGraDi 2022), Universidad Peruana de Ciencias Aplicadas, Lima, 7-11 November 2022 , pp. 39–50
summary	The dynamics of COVID-19 spread have been studied from an epidemiological perspective, at city, country, and global scales (Rabajante, 2020, Ma, 2020, and Giuliani et al., 2020), although after two years of the pandemic we know that viruses spread mostly through built environments. This study is part of the Spatiotemporal Modeling of COVID-19 spread in buildings research (Gomez, Hadi, and Kemenova et al., 2020 and 2021), which proposes a multidimensional model that integrates spatial configurations, temporal use of spaces, and virus characteristics into one multidimensional model. This paper presents a specific branch of this model that analyzes the behavioral parameters, such as vaccination, masking, and mRNA booster rates, and compares them to reducing room occupancy. We focused on human behavior, specifically human interactions within six feet. We utilized the multipurpose simulation software, AnyLogic, to quantify individual exposure to the virus, in the high school building by Perkins and Will. The results show how the most effective solution, reducing the occupancy rates or redesigning layouts, being the most impractical one, is as effective as 80% of the population getting a third boost.
keywords	Spatiotemporal Modeling, Behavior Analytics, COVID-19 Spread, Agent-Based Simulation, COVID-19 Prevention
series	SIGraDi
email
last changed	2023/05/16 16:55

_id	caadria2022_336
id	caadria2022_336
authors	Araujo, Goncalo, Santos, Luis, Leitao, Antonioand Gomes, Ricardo
year	2022
title	AD-Based Surrogate Models for Simulation and Optimization of Large Urban Areas
doi	https://doi.org/10.52842/conf.caadria.2022.2.689
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. 689-698
summary	Urban Building Energy Model (UBEM) approaches help analyze the energy performance of urban areas and predict the impact of different retrofit strategies. However, UBEM approaches require a high level of expertise and entail time-consuming simulations. These limitations hinder their successful application in designing and planning urban areas and supporting the city policy-making sector. Hence, it is necessary to investigate alternatives that are easy-to-use, automated, and fast. Surrogate models have been recently used to address UBEM limitations; however, they are case-specific and only work properly within specific parameter boundaries. We propose a new surrogate modeling approach to predict the energy performance of urban areas by integrating Algorithmic Design, UBEM, and Machine Learning. Our approach can automatically model and simulate thousands of building archetypes and create a broad surrogate model capable of quickly predicting annual energy profiles of large urban areas. We evaluated our approach by applying it to a case study located in Lisbon, Portugal, where we compare its use in model-based optimization routines against conventional UBEM approaches. Results show that our approach delivers predictions with acceptable accuracy at a much faster rate.
keywords	urban building energy modelling, algorithmic design, machine learning in Architecture, optimization of urban areas, SDG 7, SDG 12, SDG 13
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	sigradi2022_85
id	sigradi2022_85
authors	Mariano, Pedro Oscar Pizzetti; Sansao, Marcos Marciel; Vaz, Carlos Eduardo Verzola
year	2022
title	Parametric modeling applied to landscape design: simulation as a tool for defining tree stratum
source	Herrera, PC, Dreifuss-Serrano, C, Gómez, P, Arris-Calderon, LF, Critical Appropriations - Proceedings of the XXVI Conference of the Iberoamerican Society of Digital Graphics (SIGraDi 2022), Universidad Peruana de Ciencias Aplicadas, Lima, 7-11 November 2022 , pp. 225–236
summary	This experiment demonstrated how the use of a process aided with computational tools, similar to the multi-criteria performative model, contributes to the learning of architecture and urbanism students in the development of designing urban and landscape projects. The study seeks to bring students closer to multi-criteria analysis in project training activities. The method used is guided by a case study that allows simulated data referring to radiation, visual permeability, and percentage of visible sky. The results were collected through the analyzes and comparisons found in the final project of the discipline, verified through the observation of the design decisions based on the simulations. This allowed us to identify the potentialities of the process in the understanding of the students in using different criteria in the initial launch of the architectural project and also to recognize the points and negatives of the use of the process.
keywords	Parametric Analysis, Simulation, Multicriteria Analysis, Landscape Design
series	SIGraDi
email
last changed	2023/05/16 16:55

_id	ijac202220208
id	ijac202220208
authors	Refalian, Ghazal; Eloi Coloma; Joaquim N Moya
year	2022
title	Formal grammar methodology for digital visualization of Islamic geometric patterns
source	International Journal of Architectural Computing 2022, Vol. 20 - no. 2, pp. 297–315
summary	In the oriental practice of art and architecture, and among the regions under their influence, Islamic geometricpatterns (IGPs) have been widely used, not only due to aesthetics and decoration but also to make it possibleto cover wide flat surfaces, curved surface of domes, and perforated surfaces of window and partitions, withperfectly tessellated shapes. However, with advances in time and technology, these techniques could notconnect to the new technologies and benefit from the capacities of digitalization. Recent progress in scienceand technology tends to open new doors to study geometrical patterns by digitalizing the old ones anddeveloping new variations. This study looks at formal grammar and computer science to introduce a newapproach to digital visualization of available IGPs, particularly, star patterns.We investigate the potentials of developing a re-writing system for simulation of IGPs to provide a flexibleplatform, which allows introducing IGP to CAD/CAM software without previous knowledge on their designor drawing techniques. This methodology allows designers to directly develop various scenarios of IGPapplications and implement them on related CAD/CAM tools.Formal language and grammar theories, based on applied mathematics are contributing to the advancementsof computer science and digital modeling. They can provide an opportunity to express relational definitionand written equivalents of the geometries by using strings and symbols. It is supposed that by using the formalgrammar frameworks, certain languages could be developed to visualize IGPs in a machine-friendly way, andconsequently, this computational interpretation of IGPs facilitates their application and further developments,for example, regards to digital fabrication.The presented method of IGP visualization is developed as a C#-based add-on for Grasshopper in Rhino3D,one of the main modeling tools used by architects and product designers
keywords	Islamic geometric patterns, digital visualization, formal grammar, formal language, shape grammar
series	journal
last changed	2024/04/17 14:29

_id	architectural_intelligence2022_6
id	architectural_intelligence2022_6
authors	Achim Menges, Fabian Kannenberg & Christoph Zechmeister
year	2022
title	Computational co-design of fibrous architecture
doi	https://doi.org/https://doi.org/10.1007/s44223-022-00004-x
source	Architectural Intelligence Journal
summary	Fibrous architecture constitutes an alternative approach to conventional building systems and established construction methods. It shows the potential to converge architectural concerns such as spatial expression and structural elegance, with urgently required resource effectiveness and material efficiency, in a genuinely computational approach. Fundamental characteristics of fibre composite are shared with fibre structures in the natural world, enabling the transfer of design principles and providing a vast repertoire of inspiration. Robotic fabrication based on coreless filament winding, a technique to deposit resin impregnated fibre filaments with only minimal formwork, as well as integrative computational design methods are imperative to the development of complex fibrous building systems. Two projects, the BUGA Fibre Pavilion as an example for long-span structures, and Maison Fibre as an example of multi-storey architecture, showcase the application of those techniques in an architectural context and highlight areas of further research opportunities. The highly interrelated aesthetic, structural and fabrication characteristics of fibre nets are difficult to understand and go beyond a designer’s comprehension and intuition. An AI powered, self-learning agent system aims to extend and thoroughly explore the design space of fibre structures to unlock the full design potential coreless filament winding offers. In order to ensure feedback between all relevant design and performance criteria and enable interdisciplinary convergence, these novel design methods are embedded in a larger co-design framework. It formalizes the interaction of involved interdisciplinary domains and allows for interactive collaboration based on a central data model, serving as a base for design optimisation and exploration. To further advance research on fibre composites in architecture, bio-based materials are considered, continuing the journey of discovery of fibrous architecture to fundamentally rethinking design and construction towards a novel, computational material culture in architecture.
series	Architectural Intelligence
email
last changed	2025/01/09 15:00

_id	cdrf2022_304
id	cdrf2022_304
authors	Anni Dai
year	2022
title	Co-creation: Space Reconfiguration by Architect and Agent Simulation Based Machine Learning
doi	https://doi.org/https://doi.org/10.1007/978-981-19-8637-6_27
source	Proceedings of the 2022 DigitalFUTURES The 4st International Conference on Computational Design and Robotic Fabrication (CDRF 2022)
summary	This research is a manifestation of architectural co-creation between agent simulation based machine learning and an architect’s tacit knowledge. Instead of applying machine learning brains to agents, the author reversed the idea and applied machine learning to buildings. The project used agent simulation as a database, and trained the space to reconfigure itself based on its distance to the nearest agents. To overcome the limitations of machine learning model’s simplified solutions to complicated architectural environments, the author introduced a co-creation method, where an architect uses tacit knowledge to overwatch and have real-time control over the space reconfiguration process. This research combines both the strength of machine learning’s data-processing ability and an architect’s tacit knowledge. Through exploration of emerging technologies such as machine learning and agent simulation, the author highlights limitations in design automation. By combining an architect’s tacit knowledge with a new generation design method of agent simulation based machine learning, the author hopes to explore a new way for architects to co-create with machines.
series	cdrf
email
last changed	2024/05/29 14:02

_id	ijac202220101
id	ijac202220101
authors	Bao, Ding Wen; Xin Yan, Yi Min Xie
year	2022
title	Encoding topological optimisation logical structure rules into multi-agent system for architectural design and robotic fabrication
source	International Journal of Architectural Computing 2022, Vol. 20 - no. 1, pp. 7–17
summary	Natural phenomena have been explored as a source of architectural and structural design inspiration with different approaches undertaken within architecture and engineering. The research proposes a connection between two dichotomous principles: architectural complexity and structural efficiency through a hybrid of natural phenomena, topology optimisation and generative design. Both Bi-directional Evolutionary Structural Optimisation (BESO) and multi-agent algorithms are emerging technologies developed into new approaches that transform architectural and structural design, respectively, from the logic of topology optimisation and swarm intelligence. This research aims to explore a structural behaviour feedback loop in designing intricate functional forms through encoding BESO logical structure rules into the multi-agent algorithm. This research intends to study and evaluate the application of topology optimisation and multi-agent system in form-finding and later robotic fabrication through a series of prototypes. It reveals a supposition that the structural behaviour-based design method matches the beauty and function of natural appearance and structure. Thus, a new exploration of architectural design and fabrication strategy is introduced, which benefits the collab- oration among architects, engineers and manufacturers. There is the potential to seek the ornamental complexities in architectural forms and the most efficient use of material based on structural performance in the process of generating complex geometry of the building and its various elements.
keywords	Swarm intelligence, multi-agent, bi-directional evolutionary structural optimisation (BESO), intricate architectural form, efficient structure
series	journal
last changed	2024/04/17 14:29

_id	ecaade2022_102
id	ecaade2022_102
authors	Casalnuovo, Gianluca and Erioli, Alessio
year	2022
title	Deep Trails - Coupling of structural optimization and self-organization processes for the computational design of composite surface tectonics
doi	https://doi.org/10.52842/conf.ecaade.2022.2.085
source	Pak, B, Wurzer, G and Stouffs, R (eds.), Co-creating the Future: Inclusion in and through Design - Proceedings of the 40th Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2022) - Volume 2, Ghent, 13-16 September 2022, pp. 85–94
summary	This research explores the constructive and expressive capabilities of stigmergic-based creasing patterns integrating structural and ornamental conditions in fibre-composite surface tectonics, generated by the reciprocal influence of multi-agent systems and Non- Linear Time History (NLHT) dynamic structural simulation. Building upon precedents on the use of agent bodies and behavioural tectonics such as the work of Roland Snooks, our approach employs NLTH simulation for the dynamical assessment of the structural failure modes to provide information for agents behaviour and a comparative assessment of the bodies pattern contribution. Considering the obtained results, insights gained on the structural behaviour of multi-agent composite surface tectonics while attempting to explore its embedded architectural, morphological and expressive qualities are discussed.
keywords	Computational Design, Multi-Agent System, Ornament, Structural Optimization, Fibre-Composite Materials, Stigmergy, Non-Linear Time History
series	eCAADe
email
last changed	2024/04/22 07:10

_id	ijac202220306
id	ijac202220306
authors	Duclos-Prévet, Claire; François Guéna; Mariano Efron
year	2022
title	Constraint handling methods for a generative envelope design using genetic algorithms: The case of a highly constrained problem
source	International Journal of Architectural Computing 2022, Vol. 20 - no. 3, pp. 587–609
summary	The use of genetic algorithms as generative and performance design techniques often involves, in practice, constraint handling, which can be a complex task. Moreover, environmental simulations are computationally expensive and managing constraints can avoid wasting time on infeasible solutions. Despite these two incentives, and the benefits of an immense literature, both applied and theorical, on constrained optimization, there are only few guidelines and tools directly applicable by architects to address this issue. This paper proposes to fill this gap by identifying, classifying, and implementing different constraint management techniques available to architects. Seven methods have been tested for a highly constrained envelope design problem, consisting in the optimization of a sun-shading system. Three of them are easily replicable to different types of projects while the four others need to find a problem-specific heuristic. It appears that the second category is more efficient but implies the use of generative techniques that are more difficult to implement than parametric models
keywords	Optimization under constraint, performative envelope design, generative and sustainable design, agent-based modeling, multiobjective genetic algorithm, visual comfort
series	journal
last changed	2024/04/17 14:30

_id	ijac202220106
id	ijac202220106
authors	Förster, Nick; Ivan Bratoev, Jakob Fellner, Gerhard Schubert, Frank Petzold
year	2022
title	Collaborating with the crowd
source	International Journal of Architectural Computing 2022, Vol. 20 - no. 1, pp. 76–95
summary	Microscopic agent-based simulations promise the meaningful inclusion of crowd dynamics in planning processes. However, such complex urban issues depend on a multiplicity of criteria. Thus, an isolated model cannot represent the walk of pedestrians meaningfully in planning contexts. This paper reframes crowd simulation as collaborative experimentation and embeds it directly in the design process. Beyond the simulation algorithm, this perspective draws attention to user interactions, interfaces, and visualizations as crucial simulation elements. Through a prototype, we combine an agent-based pedestrian simulation with a hybrid physical–digital interface. Based on this configuration, we explore requirements of the early design stages and accordingly discuss concepts for interaction, simulation, and visualization. The prototype blends user inputs with intuitive design interactions, adapts the simulation process to qualitative and dynamic negotiations, and presents results immediately in the discussed context. Thus, it aligns crowd simulation with contingent collaborations and reveals its potential in the early design stages.
keywords	Urban design, architectural design, design decision support, pedestrian simulation, human–computer interaction, collaborative design, early design stages
series	journal
last changed	2024/04/17 14:29

_id	sigradi2022_145
id	sigradi2022_145
authors	Gulec Ozer, Derya; Erdil, Fatih; Kidis, Koray
year	2022
title	A Pre-Evaluation Tool for Interior Designs of High-Rise Office Buildings by User Movement Simulation after Covid’19
source	Herrera, PC, Dreifuss-Serrano, C, Gómez, P, Arris-Calderon, LF, Critical Appropriations - Proceedings of the XXVI Conference of the Iberoamerican Society of Digital Graphics (SIGraDi 2022), Universidad Peruana de Ciencias Aplicadas, Lima, 7-11 November 2022 , pp. 27–38
summary	User movement optimization has become a more crucial design parameter in high-rise office interior design after the Covid’19 pandemic. This study aims to develop a pre-evaluation tool using vertical and horizontal user movement simulation in a high-rise building; to guide the pre-design phase of an office interior. Agent-based simulation software (AnyLogic v8.7.10) analyzes the relationship between circulation, design elements, and space. First, initial design which is created by the interior design team is evaluated by this simuation; later different interior design alternatives are simulated and tested to compare the results. Therefore, early design decisions taken by the design team are subject to change, reducing user intensity in specific locations throughout the day. This study concluded that the simulations' results can be integrated into the design decisions by the design team to develop effective interior designs led by new office design parameters after Covid’19.
keywords	Agent-Based Systems, Multi-Level Wayfinding, Occupancy Schedule, Path Planning, Building Traffic Simulation
series	SIGraDi
email
last changed	2023/05/16 16:55

_id	acadia22_638
id	acadia22_638
authors	Hosmer, Tyson; Wang, Jiaqi; Jiang, Wanzhu; He, Ziming
year	2022
title	Integrated Reconfigurable Autonomous Architecture System
source	ACADIA 2022: Hybrids and Haecceities [Proceedings of the 42nd Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9860805-8-1]. University of Pennsylvania Stuart Weitzman School of Design. 27-29 October 2022. edited by M. Akbarzadeh, D. Aviv, H. Jamelle, and R. Stuart-Smith. 638-651.
summary	Integrated Reconfigurable Autonomous Architecture System (IRAAS) is composed of three components: 1) an interactive platform for user and environmental data input, 2) an agent-based generative space planning algorithm with deep reinforcement learning for continuous spatial adaptation, 3) a distributed robotic material system with bidirectional cyber-physical control protocols for simultaneous state alignment.
series	ACADIA
type	paper
email
last changed	2024/02/06 14:04

_id	cdrf2022_263
id	cdrf2022_263
authors	Jiaqi Wang and Wanzhu Jiang
year	2022
title	Demand-Driven Distributed Adaptive Space Planning Based on Reinforcement Learning
doi	https://doi.org/https://doi.org/10.1007/978-981-19-8637-6_23
source	Proceedings of the 2022 DigitalFUTURES The 4st International Conference on Computational Design and Robotic Fabrication (CDRF 2022)
summary	In the second digital turn, the architecture driven by big data logic is gradually shifting from a traditional static entity to an intellective living organism. This paper explores a space planning algorithm that applies reinforcement learning to the multi-agent system to achieve condition adaptability. This algorithm contains an inclusive environment and programmable agents that represent independent spaces. Through reinforcement learning, personalized space needs are quantified as the agent’s Space Schema, which can provide adaptive behavior strategies to adjust volumetric room boundaries. The spatial organization emerges in multi-agent competition, guided by the Negotiation Schema, realizing the dynamic equilibrium of spatial relations and the stable maximization of collective interests. Through real-time interaction and distributed decision-making, this bottom-up method defines a new architectural paradigm that continuously changes based on demands with its high degree of variability, adaptability and evolvability.
series	cdrf
email
last changed	2024/05/29 14:02

_id	acadia22_318
id	acadia22_318
authors	Maierhofer, Mathias; Menges, Achim
year	2022
title	Methods for Integrating Architectural Design Intent into the Agent-based Design of (Adaptive) Truss Structures
source	ACADIA 2022: Hybrids and Haecceities [Proceedings of the 42nd Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9860805-8-1]. University of Pennsylvania Stuart Weitzman School of Design. 27-29 October 2022. edited by M. Akbarzadeh, D. Aviv, H. Jamelle, and R. Stuart-Smith. 318-325.
summary	When introducing structural adaptation to the architectural domain, design methods cannot explore adaptability in isolation but must also acknowledge a myriad of architectural requirements. The scope of this research is, therefore, to develop strategies for translating design intent into constraints and instructions to be eventually negotiated with adaptability objectives by the agent system. The key challenge here is to ensure that these constraints and instructions are specific enough to be sufficiently integrated, and at the same time flexible enough not to compromise the solution space and exploration of adaptable topologies.
series	ACADIA
type	paper
email
last changed	2024/02/06 14:00

_id	ecaade2022_402
id	ecaade2022_402
authors	Neumayr, Robert
year	2022
title	Agent-Based Semiology - Simulating office occupation patterns with conversation-based social models
doi	https://doi.org/10.52842/conf.ecaade.2022.2.141
source	Pak, B, Wurzer, G and Stouffs, R (eds.), Co-creating the Future: Inclusion in and through Design - Proceedings of the 40th Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2022) - Volume 2, Ghent, 13-16 September 2022, pp. 141–150
summary	The importance of fostering formal and informal conversation to optimize office space performance has been well researched since the introduction of the 1970s cybernetic office layout strategies and recent research suggests, that formal and informal conversations at work can no longer be meaningfully separated, making efficient conversation patterns even more central to a successful office layout in the age of knowledge economy. In such a setup, social factors, like hierarchy, group membership, or expertise, contribute more to the formation of an office’s spatial occupation patterns than the space’s morphology itself. Consequently, standard tools of space evaluation, such as Space Syntax, that rely on the analysis of a space's topological description, yield inconclusive results, as the quantitative description of the space can no longer be matched to the changing patterns of interactions observed in that space. The research methodology described in this paper, therefore, aims to optimize contemporary office environments in a different way. Embedded in the conceptual framework of agent-based simulation, this research does not foreground the configuration of space itself but focuses on developing a population of agents sophisticated enough to allow for the emergence of an a simplified, yet plausibly life-like collective office scenario. Here, special occupation patterns evolve over time based on series of subsequent communication events between all agents in a space, where participants, locations, total numbers of various types of conversations, and durations depend on previous events as well as on a simplified social model. Different office scenarios are then analyzed against a set of selected criteria to identify successful office configurations. This paper describes the methodology’s underlying concepts and setup, introduces the agent-based simulations that were developed and presents and speculate about the preliminary research results and findings.
keywords	Design Methodology, Agent-Based Modelling, Office Space Simulation
series	eCAADe
email
last changed	2024/04/22 07:10

_id	ijac202220402
id	ijac202220402
authors	Orozco, Luis; Anna Krtschil; Lior Skoury; Jan Knippers; Achim Menges
year	2022
title	Arrangement of reinforcement in variable density timber slab systems for multi-story construction
source	International Journal of Architectural Computing 2022, Vol. 20 - no. 4, pp. 707–727
summary	The arrangement of columns and their spacing in multi-story timber construction is restricted to rectangular grids by the production and shipping sizes of floor assemblies. This is particularly true for hollow box floor systems, for which the punctual supports must be placed at the reinforced edges of the hollow boxes. The arrangement of the columns and their spacing is thereby restricted by the production and shipping sizes of the box ceilings to rectangular grids. To overcome these design limits a new wooden box building system is developed that allows for irregular column layouts through a tailored slab interior design. This development allows for the increased applicability of timber floor systems regardless of site shape or architectural design intent. The slab interior design is dependent on occurring forces and fabrication requirements. Three methods for the internal slab layout are developed and compared: a sequential method, a structurally informed agent-based method, and a geometrically informed agent-based method that uses both a sequential and agent-based approach. The structural performance of each method is compared through the analysis of three reinforcement layouts an architectural testing setup.
keywords	Agent-based modeling, integrative design, structural analysis, computational design, timber building system
series	journal
last changed	2024/04/17 14:30

_id	ecaade2022_293
id	ecaade2022_293
authors	Sommer, Til, Wurzer, Gabriel and Lorenz, Wolfgang E.
year	2022
title	NoMoTown - An agent-based model of transport mode choice
doi	https://doi.org/10.52842/conf.ecaade.2022.2.133
source	Pak, B, Wurzer, G and Stouffs, R (eds.), Co-creating the Future: Inclusion in and through Design - Proceedings of the 40th Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2022) - Volume 2, Ghent, 13-16 September 2022, pp. 133–140
summary	In most cities, cars remain the dominant mode of transport. This is a huge problem not only because of obvious effects such as congestion and pollution, but also because it causes health issues for commuters themselves which lead to further costs for the community. In our work, we have developed an agent-based simulation which offers mitigation strategies and tries to propose realistic lines of action for transport modes to more sustainable modes. Our approach can import from GIS or (raster) maps, thus acting as a planning tool for urban planners and city administrators; we also included the possibility for generating theoretical / idealized cities, as a testbed and theoretical tool for instructing policy makers. Our goal is to find an equilibrium between individual freedom in transport choice, financial effort required for maintaining the overall transport system and the health of the whole population.
keywords	Agent-Based Simulation, Urban Dynamics, Multimodal Transport, Sustainability
series	eCAADe
email
last changed	2024/04/22 07:10

_id	caadria2022_435
id	caadria2022_435
authors	Stieler, David, Schwinn, Tobias and Menges, Achim
year	2022
title	Additive Formwork in Precast Construction - Agent-based Methods for Fabrication-aware Modularization of Concrete Building Elements
doi	https://doi.org/10.52842/conf.caadria.2022.2.081
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. 81-90
summary	This paper presents the geometric foundations for an agent-based modeling (ABM) approach to modularize concrete building elements for prefabrication via additive formwork. The method presented extends the functionality of existing planning tools for concrete prefabrication to addresses the manufacturing characteristics of additive formwork production using fused deposition modeling (FDM), and negotiates these with the structural requirements of its underlying building geometry. First, a method to classify building components according to fabrication methods using a probabilistic feature-based Naive Bayes classifier is presented. This classification allows to automatically assign the most suitable production method to every individual building element within a given building model. Following this class0864108000ification, elements identified for the production using additive formwork are modularized in an automated, agent-based process. The modularization process utilizing a voxel-representation of the initial building element geometry is described in detail. An agent-based method to simulate multiple modularization variants is presented and the integration of feedback from iterative negotiation processes between fabrication expenditures and structural behaviour outlined. The approach presented fosters material-saving construction and production processes in planning and therefore directly addresses crucial issues of the agenda for global Sustainable Development Goals (SDGs).
keywords	agent-based modeling, modularization, prefabrication, ABM, volumetric modeling, additive formwork, SDG 9, SDG 12
series	CAADRIA
email
last changed	2022/07/22 07:34

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