Co-evolution as a computational and cognitive model of design

Maher, Mary Lou; Tang, Hsien-Hui

doi:10.1007/s00163-002-0016-y

Cited by 125 publications

(110 citation statements)

References 25 publications

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“…Central to this viewpoint is the perspective that design problems are evolutionary in nature -i.e. they may be reinterpreted and reformulated as designing progresses and a solution is developed [26,27].…”

Section: Viewpoint 2: Design As Explorationmentioning

confidence: 99%

A Systematic Review of Protocol Studies on Conceptual Design Cognition

Hay

McTeague

Duffy

et al. 2017

Design Computing and Cognition '16

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This paper reports the first systematic review and synthesis of protocol studies on conceptual design cognition. 47 studies from the domains of architectural design, engineering design, and product design engineering were reviewed towards answering the following question: What is our current understanding of the cognitive processes involved in conceptual design tasks carried out by individual designers? Studies were found to reflect three viewpoints on the cognitive nature of designing: design as search; design as exploration; and design activities. Synthesising the findings of individual studies revealed ten categories of executive and nonexecutive function studied across the viewpoints: visual perception; mental imagery; semantic association; long term memory; working memory; selective attention; creative thinking; evaluation and decision making; externalisation; and reasoning and problem solving. The review highlights several avenues for future research, centering on the need for general formalisms, more objective methods to supplement protocol analysis, and a shared ontology of cognitive processes.

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Section: Viewpoint 2: Design As Explorationmentioning

confidence: 99%

A Systematic Review of Protocol Studies on Conceptual Design Cognition

Hay

McTeague

Duffy

et al. 2017

Design Computing and Cognition '16

View full text Add to dashboard Cite

show abstract

“…Intention-Driven Design Rationale knowledge modeling studies suggest that the designer's intentions interact with the environment, and co-evolution with it [9]. Intention-driven DR knowledge modeling can preserve design history by recording design intent evolution trajectories.…”

Section: Design Rationale Knowledge Hierarchy Modelmentioning

confidence: 99%

A method for extracting design rationale knowledge based on Text Mining

Liu

Wang

2017

MATEC Web Conf.

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Abstract. Capture design rationale (DR) knowledge and presenting it to designers by good form, which have great significance for design reuse and design innovation. Since the 1970s design rationality began to develop, many teams have developed their own design rational system. However, the DR acquisition system is not intelligent enough, and it still requires designers to do a lot of operations. In addition, the existing design documents contain a large number of DR knowledge, but it has not been well excavated. Therefore, a method and system are needed to better extract DR knowledge in design documents. We have proposed a DRKH (design rationale knowledge hierarchy) model for DR representation. The DRKH model has three layers, respectively as design intent layer, design decision layer and design basis layer. In this paper, we use text mining method to extract DR from design documents and construct DR model. Finally, the welding robot design specification is taken as an example to demonstrate the system interface.

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“…Some studies (Lawson, 1979;Lloyd and Scott, 1994) provide evidence for some of the expert designers' accounts, suggesting that designers begin problem-solving by focusing on solutions first (Lawson, 1979) or that designers with experience in a particular design task begin with a solution (Lloyd and Scott,1994). Co-evolutionary views of design (Dorst and Cross, 2001;Gross et al, 1987;Maher and Tang, 2003;Suwa et al, 2000) suggest a process in which problem solution and problem-structuring evolve simultaneously.…”

Section: Initial Phases Of Designmentioning

confidence: 99%

Architectural Design Students' Explorations through Conceptual Diagrams

Doğan

2013

The Design Journal

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Views of creativity highlight the importance of incubation or the significance of sketching as a means of seeing emergent properties. Both views put design students at a disadvantage. This study investigates the strengths and weaknesses of an alternative approach to design education, in which students were asked to develop a design idea through conceptual diagrams. This study investigates how conceptual diagrams might help architectural students to see the relationships between concepts and space and coordinate their dual development through conceptual diagrams. The study presents the development of the ideas of 13 second-year architectural students. Students' logbooks, together with their midterm and final review presentations, The Design Journal 104Fehmi Dogan were studied to determine whether students drew any conceptual diagrams, whether they were instrumental in spatial organization, and how they introduced changes during the design process. The findings showed that this particular design education approach helped students start the design process and stay focused throughout the design process.

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Co-evolution as a computational and cognitive model of design

Cited by 125 publications

References 25 publications

A Systematic Review of Protocol Studies on Conceptual Design Cognition

A Systematic Review of Protocol Studies on Conceptual Design Cognition

A method for extracting design rationale knowledge based on Text Mining

Architectural Design Students' Explorations through Conceptual Diagrams

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