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dc.contributor.advisorTerry Knight and Caitlin Mueller.en_US
dc.contributor.authorCharidis, Alexandrosen_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.en_US
dc.date.accessioned2017-08-01T13:02:30Z
dc.date.available2017-08-01T13:02:30Z
dc.date.copyright2017en_US
dc.date.issued2017en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/110867
dc.descriptionThesis: S.M. in Architecture Studies, Massachusetts Institute of Technology, Department of Architecture, 2017.en_US
dc.descriptionThesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2017.en_US
dc.descriptionThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.en_US
dc.descriptionCataloged from student-submitted PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 93-97).en_US
dc.description.abstractAs a mathematical abstraction and as a model for automated problem solving, the classical notion of a design space has proven convenient for the sciences and the engineering disciplines over the past sixty years. This is also true for models of calculating in design. These models, however, assume implicitly that a design space, one of possible compositions of shapes, is invented as a one-off final description or specification of designs, and that the individual who designs or composes has nothing new to contribute in the calculations other than to search and select among available possibilities. I suggest that this is limiting for the visual fields, such as architecture and applied arts. In this thesis, I articulate a novel, improvisational theory of design spaces. I describe a model of calculating an improvisational specification that complements the proposed theory and reconciles classical analytical approaches with the open-ended creative practice of improvisation. The proposed specification is based on the shape grammar formalism and the associated algebras of shapes due to their unique treatment of shapes as raw, unanalyzed pictorial entities. The model is made of two calculating procedures: a. compositional rules are applied on shapes and their parts distinguished in observation, b. backwards descriptive rules specify the composition in terms of topological decompositions of shapes. Improvisation moves forward through compositional rules applied perceptually on shapes, while the design space in which composition happens is specified backwards by studying how shape decompositions map continuously from one rule application to another. I describe the differences between the proposed improvisational specification and classical specifications, which are defined in terms of symbols rather than spatial, pictorial entities. I outline important extensions to the proposed formalism and conclude by proposing improvisation as an alternative umbrella concept that presents opportunities to expand classical conceptualizations of design spaces from exclusive engagement with analysis as a form of preliminary projection of results before calculating.en_US
dc.description.statementofresponsibilityby Alexandros Charidis.en_US
dc.format.extent97 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsMIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectArchitecture.en_US
dc.subjectElectrical Engineering and Computer Science.en_US
dc.titleImprovisational specification of design spacesen_US
dc.typeThesisen_US
dc.description.degreeS.M. in Architecture Studiesen_US
dc.description.degreeS.M.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Architecture
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.identifier.oclc994207662en_US


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