Show simple item record

dc.contributor.advisorGeorge Stiny and Patrick Winston.en_US
dc.contributor.authorTurakhia, Dishita Girishen_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.en_US
dc.date.accessioned2018-03-02T21:39:09Z
dc.date.available2018-03-02T21:39:09Z
dc.date.copyright2017en_US
dc.date.issued2017en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/113918
dc.descriptionThesis: S.M., 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 97-99).en_US
dc.description.abstractThe vision of this research is to propose a novel computational framework to study Creative Thinking. If we are to embed machines with creative thinking abilities, then we first need to study the evanescent nature of human creative thinking. Creative thinking is neither entirely random nor strictly logical, making it difficult to t its computation into structured logical models of thinking. Given this conundrum, how can we computationally study the process of thinking creatively? In this research, I first present the current scientific definitions of creative thinking. Through literary survey of cognitive, computational and design thinking frameworks, I identify the missing links between human creativity and AI models of creative thinking. I assert that creative thinking is result of two features of human intelligence, cognitive diversity and social interaction. Cognitive diversity or the ability to parse knowledge in dierent ways is a crucial aspect of creative thinking. Furthermore, social interaction between cognitively diverse individuals results in restructuring of thoughts leading to creativity and epiphanies (the aha moments). I posit that Shape Grammar, with its ability to fluidly restructure computation, can be used to study and demonstrate cognitive diversity and interaction. If we conceive thoughts as shapes and ideas as configurations of those shapes, then cognitive diversity can be described as rule-based computation on shapes to generate those configurations; and interaction as the exchange of rules between cognitive diverse entities (humans or machines). The contributions of this research are threefold. First, I present a literature review of current frameworks, and identify the two gaps between machine and human creativity. Secondly, I demonstrate how shape grammar can ll those gaps of cognitive diversity and interaction. Thirdly, I propose thought-shape framework that adapts principles of shape grammar for computational creative thinking.en_US
dc.description.statementofresponsibilityby Dishita Girish Turakhia.en_US
dc.format.extent99 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.titleThirteen ways of looking : a theoretical inquiry in computational creative thinkingen_US
dc.title.alternativeTheoretical inquiry in computational creative thinkingen_US
dc.typeThesisen_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.oclc1023434010en_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record