Embracing Complexity in Design

Johnson, Jeffrey; Alexiou, Katerina; Creigh-Tyte, Anne; Chase, Scott C.; Duffy, Alex H. B.; Eckert, Claudia; Gascoigne, Damian; Kumar, Bimal; Mitleton–Kelly, Eve; Petry, Michael; Qin, Sheng Fen; Robertson, Alec; Rzevski, George; Teymour, Necdet; Thompson, Avril; Young, R. Michael; Willis, Mateo; Zamenopoulos, Theodore

doi:10.4324/9780203871393

Cited by 11 publications

(4 citation statements)

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“…To the best of our knowledge, Alexiou et al (Alexiou et al, 2010) published the most comprehensive work in complexity theory applied to different design domains. In this volume, several authors discussed contributions to urban planning, architecture, engineering design, organization design, digital and performance art, service design, and interaction design.…”

Section: A Glimpse Of Agent-based Research In Designmentioning

confidence: 99%

Design Research through simulated social complexity. An agent-based proposal to the construction of design knowledge

2019

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Based on the premise that human agency is shaped on the interaction with others, and at the same time it is affected by norms, cultural membership, and nonhuman agents with an equal or greater impact on the way humans behave, we introduce a design theoretical framework that looks beyond human-centered models to reveal the interrelationship between artifacts, social models and innovation. We regard norms as cultural models consequence of situated interactions between human and nonhuman agents. Borrowing computational tools from the social sciences used for the study of the networked behavior in artificial social systems we propose the inclusion of Agent-Based Modeling and Simulation (ABMS) in the design researchers toolbox. Through two examples we illustrate how ABMS serves as a tool for experimenting with models of designed artifacts as it carries the potential of testing the effects of design interventions at the micro and macro level on collective behavioral patterns. We conclude with an invitation to the design community to explore this promising path of research.

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Section: A Glimpse Of Agent-based Research In Designmentioning

confidence: 99%

Design Research through simulated social complexity. An agent-based proposal to the construction of design knowledge

2019

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“…Bridging the gap between complexity and design, significant contributions were made within the framework of urban modelling and simulations [12] and [13]. For the most part, research in these domains came short of high resolution structural descriptions of urban form.…”

Section: From Analytical Descriptions To Design Prescriptionsmentioning

confidence: 99%

Translating Analytical Descriptions of Cities into Planning and Simulation Models

Al-Sayed

Penn

2017

Design Computing and Cognition '16

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With the increase in urban complexity, plausible analytical and synthetic models became highly valued as the way to decode and reconstruct the organization that makes urban systems. What they lacked is a mechanism by which an analytical description of urban complexity could be translated into a synthetic description. An attempt to define such a mechanism is presented in this paper, where knowledge is retrieved from the natural organization that cities settle into, and devised in a design model to support urban design at the problem definition stage. The model comprises two automated design modules, giving preference to street accessibility. The first module implements plausible spatial laws to generate street structures. The performance criteria of these structures are measured against accessibility scores and clustering patterns of street segments. In the second module, an Artificial Neural Networks model (ANNs) is trained on Barcelona's data, outlining how street width, building height, block density and retail land use might be dependent on street accessibility. The ANNs is tested on Manhattan's data. The application of the two computational modules is explored at the problem definition stage of a design process in order to verify how far deterministic knowledge-based models are in the transition from the analysis of design problems to the synthesis of design solutions. Our findings suggest that the computational framework proposed could be instrumental at generating simplified representation of an urban grid, whilst being effective at forecasting form-related and functional attributes within a minimum resolution of 200 meters. It is finally concluded that as design progresses, knowledge-based models may serve as to minimize uncertainty about complex urban design problems.

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“…They deal with clients who do not know what they want or what is possible; they have to know the regulations that constrain what is allowable and negotiate permissions with the authorities; they have to create new systems that will satisfice the client's requirements; they have to manage many processes during the fabrications stage; and they have to manage the dynamics of finance and their client's finances. More formally, the interplay between design and complexity has been characterized by Alexiou et al (2009): designing complex systems requires a scientific understanding of their dynamics; design processes can be complex, e.g. manufacturing processes, supply chains; the environment of design can be complex, e.g.…”

Section: Science and Policy: Designing The Futurementioning

confidence: 99%

The future of the social sciences and humanities in the science of complex systems

Johnson¹

2010

Innovation: The European Journal of Social Science Research

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Embracing Complexity in Design

Cited by 11 publications

References 0 publications

Design Research through simulated social complexity. An agent-based proposal to the construction of design knowledge

Design Research through simulated social complexity. An agent-based proposal to the construction of design knowledge

Translating Analytical Descriptions of Cities into Planning and Simulation Models

The future of the social sciences and humanities in the science of complex systems

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