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dc.contributor.authorWinston, Patrick Henry
dc.date.accessioned2015-12-10T23:25:57Z
dc.date.available2015-12-10T23:25:57Z
dc.date.issued2014-06-10
dc.identifier.urihttp://hdl.handle.net/1721.1/100183
dc.description.abstractStory understanding is an important differentiator of human intelligence, perhaps the most important differentiator. The Genesis system was built to model and explore aspects of story understanding using simply expressed, 20-100 sentence stories drawn from sources ranging from fairy tales to Shakespeare’s plays. I describe Genesis at work as it reflects on its reading, searching for concepts, reads stories with controllable allegiances and cultural biases, models personality traits, answers basic questions about why and when, notes concept onsets, anticipating trouble, calculates similarity using concepts, models question-driven interpretation, aligns similar stories for analogical reasoning, develops summaries, and tells and persuades using a reader model. I conclude with thoughts on how Genesis would describe people in pictures and video, thus engaging with the CBMM challenge problem.en_US
dc.description.sponsorshipThis work was supported, in part, by the Center for Brains, Minds and Machines (CBMM), funded by NSF STC award CCF - 1231216.en_US
dc.language.isoen_USen_US
dc.publisherCenter for Brains, Minds and Machines (CBMM)en_US
dc.relation.ispartofseriesCBMM Memo Series;019
dc.rightsAttribution-NonCommercial 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/3.0/us/*
dc.subjectStory Understandingen_US
dc.subjectArtificial Intelligenceen_US
dc.subjectLanguageen_US
dc.subjectComputer Languageen_US
dc.titleThe Genesis Story Understanding and Story Telling System A 21st Century Step toward Artificial Intelligenceen_US
dc.typeTechnical Reporten_US
dc.typeWorking Paperen_US
dc.typeOtheren_US


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