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pyVivid ; a concrete framework for mechanized diagrammatic reasoning

dc.rights.licenseCC BY-NC-ND. Users may download and share copies with attribution in accordance with a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License. No commercial use or derivatives are permitted without the explicit approval of the author.
dc.contributorBringsjord, Selmer
dc.contributorVarela, Carlos A.
dc.contributorHendler, James A.
dc.contributorvan Heuveln, Bram
dc.contributor.authorMarton, Nicholas
dc.date.accessioned2021-11-03T08:35:01Z
dc.date.available2021-11-03T08:35:01Z
dc.date.created2016-06-13T11:09:46Z
dc.date.issued2016-05
dc.identifier.urihttps://hdl.handle.net/20.500.13015/1656
dc.descriptionMay 2016
dc.descriptionSchool of Science
dc.description.abstractIn 2007, the abstract semantic framework of Vivid was introduced by [Arkoudas and Bringsjord, 2009] for the purpose of mechanized heterogeneous natural deduction that combines symbolic and diagrammatic reasoning. We introduce an implementation of the Vivid framework in the Python programming language, pyVivid, the first such concrete framework capable of combining symbolic and diagrammatic reasoning. Furthermore, we present a protocol that allows for the extension of the pyVivid ibrary, opening up the possibility of the incorporation of diagrammatic reasoning to other programmers.
dc.language.isoENG
dc.publisherRensselaer Polytechnic Institute, Troy, NY
dc.relation.ispartofRensselaer Theses and Dissertations Online Collection
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectComputer science
dc.titlepyVivid ; a concrete framework for mechanized diagrammatic reasoning
dc.typeElectronic thesis
dc.typeThesis
dc.digitool.pid177208
dc.digitool.pid177209
dc.digitool.pid177210
dc.rights.holderThis electronic version is a licensed copy owned by Rensselaer Polytechnic Institute, Troy, NY. Copyright of original work retained by author.
dc.description.degreeMS
dc.relation.departmentDept. of Computer Science


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CC BY-NC-ND. Users may download and share copies with attribution in accordance with a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License. No commercial use or derivatives are permitted without the explicit approval of the author.
Except where otherwise noted, this item's license is described as CC BY-NC-ND. Users may download and share copies with attribution in accordance with a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License. No commercial use or derivatives are permitted without the explicit approval of the author.