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   <dim:field mdschema="dc" element="contributor" qualifier="advisor" lang="en_US">Glorianna Davenport.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Williams, Ryan Duane</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2006-07-13T15:20:13Z</dim:field>
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   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2005</dim:field>
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   <dim:field mdschema="dc" element="description" lang="en_US">Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2005.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (leaves 50-51).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">The field of Artificial Intelligence stands poised to make great leaps in emulating human intelligence. The development of a way to acquire and use common sense is the key to this advancement. This thesis describes the design and construction of ComicKit, a tool for acquiring story scripts for a common sense knowledge base. ComicKit's core mechanism is dragging and dropping icons into the panels of a comic. As the user creates a comic, ComicKit makes common sense suggestions for the story. ComicKit follows on the successful model of Open Mind Common Sense, a web-based activity that thousands of people around the world contributed bits of common sense knowledge to. It is hoped that many people will contribute a few hundred thousand stories through ComicKit, and build a large corpus of common sense story knowledge.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Ryan Duane Williams.</dim:field>
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   <dim:field mdschema="dc" element="publisher" lang="en_US">Massachusetts Institute of Technology</dim:field>
   <dim:field mdschema="dc" element="rights" lang="en_US">M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.</dim:field>
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   <dim:field mdschema="dc" element="subject" lang="en_US">Electrical Engineering and Computer Science.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">ComicKit : knowledge acquisition of story scripts</dim:field>
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   	&lt;Title>ComicKit : knowledge acquisition of story scripts&lt;/Title>
   	&lt;Subtitle>Comic Kit : knowledge acquisition of story scripts&lt;/Subtitle>
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   	&lt;Abstract>The field of Artificial Intelligence stands poised to make great leaps in emulating human intelligence. The development of a way to acquire and use common sense is the key to this advancement. This thesis describes the design and construction of ComicKit, a tool for acquiring story scripts for a common sense knowledge base. ComicKit&amp;apos;s core mechanism is dragging and dropping icons into the panels of a comic. As the user creates a comic, ComicKit makes common sense suggestions for the story. ComicKit follows on the successful model of Open Mind Common Sense, a web-based activity that thousands of people around the world contributed bits of common sense knowledge to. It is hoped that many people will contribute a few hundred thousand stories through ComicKit, and build a large corpus of common sense story knowledge.&lt;/Abstract>
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