The Genesis Story Understanding and Story Telling System A 21st Century Step toward Artificial Intelligence

Story 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 Shakesp...

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Main Author: Winston, Patrick Henry
Format: Technical Report
Language:en_US
Published: Center for Brains, Minds and Machines (CBMM) 2015
Subjects:
Online Access:http://hdl.handle.net/1721.1/100183
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author Winston, Patrick Henry
author_facet Winston, Patrick Henry
author_sort Winston, Patrick Henry
collection MIT
description Story 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.
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spelling mit-1721.1/1001832019-04-11T01:01:17Z The Genesis Story Understanding and Story Telling System A 21st Century Step toward Artificial Intelligence Winston, Patrick Henry Story Understanding Artificial Intelligence Language Computer Language Story 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. This work was supported, in part, by the Center for Brains, Minds and Machines (CBMM), funded by NSF STC award CCF - 1231216. 2015-12-10T23:25:57Z 2015-12-10T23:25:57Z 2014-06-10 Technical Report Working Paper Other http://hdl.handle.net/1721.1/100183 en_US CBMM Memo Series;019 Attribution-NonCommercial 3.0 United States http://creativecommons.org/licenses/by-nc/3.0/us/ application/pdf Center for Brains, Minds and Machines (CBMM)
spellingShingle Story Understanding
Artificial Intelligence
Language
Computer Language
Winston, Patrick Henry
The Genesis Story Understanding and Story Telling System A 21st Century Step toward Artificial Intelligence
title The Genesis Story Understanding and Story Telling System A 21st Century Step toward Artificial Intelligence
title_full The Genesis Story Understanding and Story Telling System A 21st Century Step toward Artificial Intelligence
title_fullStr The Genesis Story Understanding and Story Telling System A 21st Century Step toward Artificial Intelligence
title_full_unstemmed The Genesis Story Understanding and Story Telling System A 21st Century Step toward Artificial Intelligence
title_short The Genesis Story Understanding and Story Telling System A 21st Century Step toward Artificial Intelligence
title_sort genesis story understanding and story telling system a 21st century step toward artificial intelligence
topic Story Understanding
Artificial Intelligence
Language
Computer Language
url http://hdl.handle.net/1721.1/100183
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