Old man coyote stories : cross-cultural story understanding in the Genesis story understanding system
Name
894492789-MIT.pdf
Description
Full printable version
Size
10.56 MB
Format
Adobe PDF
Checksum (MD5)
c62ce33b57bbab0f722422fbc10ff047
Author(s)
Yarlott, Wolfgang Victor Hayden
Advisor(s)
Patrick H. Winston.
Date Issued
2014
Publisher
Massachusetts Institute of Technology
Abstract
The original question was: "Can machines think?" Alan Turing asked: "Does there exist a digital computer that can do sufficiently well at the imitation game?" Patrick Winston asked: "What makes human intelligence different from that of other primates?" Winston's answer came in the form of four hypotheses that are the core behind the vision of the Genesis group at MIT's Computer Science and Artificial Intelligence Laboratory, which has developed the Genesis story understanding system. The key focus behind this system is: stories are an essential component of what makes human intelligence so remarkably different from that of other animals. I believe that if Winston and the Genesis group are correct and stories are a key part of human intelligence, then it is necessary that Genesis, the system that serves to demonstrate this point, be capable of handling stories from all cultures, including less well-known cultures such as that of the Crow indians, a tribe from the northern plains of the United States. Over the course of my work, I analyzed three collections of Crow literature, created a list of cultural features present in the stories, identified four as particularly important (unknowable events, medicine, differences as strengths, and uniform treatment of entities), and developed a set of five Genesis-readable stories in which those four features were prominent. This led to several new elements in the story understanding model; with these new elements, Genesis is capable of understanding stories from the Crow culture, bringing it one step closer to being a universal story understanding system.
Description
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2014.
Cataloged from PDF version of thesis.
Includes bibliographical references (page 108).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
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