Titlebook: Design Computing and Cognition ‘08; Proceedings of the T John S. Gero,Ashok K. Goel Conference proceedings 2008 Springer Science+Business M

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Categorisation of Designs According to Preference Values for Shape Rulesesign space exploration is a persistent issue in computational design research, there have been few studies regarding the provision of more preferable and refined outcomes to designers. This paper presents an approach for the categorisation of design outcomes from shape grammar systems to support in

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Approximating Shapes with Topologiespositions or topologies. We showed earlier that bounded decompositions behave the same way as shapes do. The same holds for topologies, which are special kinds of bounded decompositions. They are distinguished by their algebraic structure, which has many important properties to facilitate their appl

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Diagrams as Tools in the Design of Information Systemss, in contrast to design of buildings and products, depends on topological connectivity rather than Euclidean distance. Understanding graph topology and manipulating graphs are essential skills in the design of information systems, because graph manipulation facilitates the refinement of designs and

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Form as a Visual Encounter: Using Eye Movement Studies for Design Reasoningable and controllable variables. Cognitive scientists, on the other hand have studied attention and shown how variables like complexity and order can be controlled to gain and maintain attention. This paper reports an experiment using patterns created based on information theoretic principles and ey

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GUITAR HERO, a Knowledge-Based System to Support Creativity in the Design and Manufacturing of Electectric guitars characterized by an aluminum body. The domain of the project is extremely innovative, because electric guitars are typically manufactured exploiting different kinds of wood rather than metals like aluminum, or other materials. To this aim, an ontological representation of the electric

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Discovering Implicit Constraints in Designesign space. This ability to learn novel constraints is a key aspect in which design differs from traditional optimization; the constraints on the search are constantly re-defined based on the search experience itself. Moreover, such constraints are often implicit, i.e. the designer may find it diff

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