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 caadria2008_18_session3a_153
id caadria2008_18_session3a_153
authors Gero, John S.; Kazjon S. Grace, Robert Saunders
year 2008
title Computational Analogy-Making in Designning: A Process Architecture
source CAADRIA 2008 [Proceedings of the 13th International Conference on Computer Aided Architectural Design Research in Asia] Chiang Mai (Thailand) 9-12 April 2008, pp. 153-160
summary This paper presents a model of computational analogy-making in designing based on the notion of situated similarity. Situated similarity is the idea that the relationship between two concepts is dependent not only on what the agent knows about those concepts but also on the way the agent is looking at them. Analogy-making is modelled as three interacting processes: formulation, matching and mapping. The model is developed and then its implications for developing situated analogy-making systems in design are discussed.
keywords Analogy-making; situatedness; similarity; designing
series CAADRIA
email john@johngero.com, kgra7942@mail.usyd.edu.au, r.saunders@arch.usyd.edu.au
last changed 2012/05/30 19:29

_id caadria2012_097
id caadria2012_097
authors Grace, Kazjon S.; John S. Gero and Rob Saunders
year 2012
title Constructing computational associations between ornamental designs
source Proceedings of the 17th International Conference on Computer Aided Architectural Design Research in Asia / Chennai 25-28 April 2012, pp. 37–46
summary This paper presents the application of a computational model of association to the domain of real-world ornamental designs. The driving principle of the model, interpretation-driven association, is discussed with respect to its suitability to design applications. An implementation of the model is presented, in which associations are constructed based on topological and typological relationships within each design's structure, rather than based on literal similarities. Results are presented which demonstrate that the implementation and the model from which it was derived are capable of associating between real-world design objects.
keywords Design association; design interpretation; computational modelling; ornamental designs
series CAADRIA
email kazjon@arch.usyd.edu.au
last changed 2012/05/29 07:34

_id caadria2013_130
id caadria2013_130
authors Grace, Kazjon S.; John S. Gero and Rob Saunders
year 2013
title Experiential Influences on Computational Association in Design
source Open Systems: Proceedings of the 18th International Conference on Computer-Aided Architectural Design Research in Asia (CAADRIA 2013) / Singapore 15-18 May 2013, pp. 863-872
wos WOS:000351496100089
summary This paper presents a computational model of association in design that incorporates the ability to learn from experience. Experiments with an implementation of our model of computational design association, the interpretation-driven model, demonstrate this experiential influence. The challenges inherent in 66tial offered by the interpretation-driven approach are discussed with reference to a typology of association learning.  
keywords omputational design, Association, Experiential learning  
series CAADRIA
email kazjon@arch.usyd.edu.au
last changed 2016/05/16 09:08

_id caadria2011_043
id caadria2011_043
authors Grace, Kazjon S.; Robert Saunders and John S. Gero
year 2011
title Applying interpretation-driven association to design domains
source Proceedings of the 16th International Conference on Computer Aided Architectural Design Research in Asia / The University of Newcastle, Australia 27-29 April 2011, pp. 453-462
summary This paper presents a computational model of visual association- making. Our model focuses on the interaction between the processes of representation and matching in association. Re-interpretation of the objects being associated changes the landscape in which the matching process is searching for potential mappings between those objects. We call this process interpretation-driven search. We demonstrate the capabilities of our system through some examples of previous work in simple shape domains, then discuss ongoing research into applying this system to design domains.
keywords Visual association; interpretation; computational model; design cognition
series CAADRIA
email kazjon@arch.usyd.edu.au
last changed 2012/05/30 19:29

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