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dc.rights.licenseUsers 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.contributorCassimatis, Nicholas L. (Nicholas Louis), 1971-
dc.contributor.authorBignoli, Perrin Gregory
dc.date.accessioned2021-11-03T10:29:22Z
dc.date.available2021-11-03T10:29:22Z
dc.date.created2012-09-28T16:20:02Z
dc.date.issued2012-05
dc.identifier.urihttps://hdl.handle.net/20.500.13015/3591
dc.descriptionMay 2012
dc.descriptionSchool of Humanities, Arts, and Social Sciences
dc.language.isoENG
dc.publisherRensselaer Polytechnic Institute, Troy, NY
dc.relation.ispartofRensselaer Theses and Dissertations Online Collection
dc.subjectCognitive science
dc.titleEfficient reasoning about time in a domain-general automatic inference system: insights from cognitive science can illuminate the path to human-level artificial intelligence
dc.typeElectronic thesis
dc.typeThesis
dc.digitool.pid35201
dc.digitool.pid35202
dc.digitool.pid35204
dc.digitool.pid35203
dc.digitool.pid35205
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 Cognitive Science


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