Learning by learning to communicate

Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2007. === This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. === Includes bibliographical refe...

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Main Author: Beal, Jacob Stuart Michael
Other Authors: Gerald Jay Sussman.
Format: Others
Language:English
Published: Massachusetts Institute of Technology 2008
Subjects:
Online Access:http://hdl.handle.net/1721.1/42056
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spelling ndltd-MIT-oai-dspace.mit.edu-1721.1-420562019-05-02T15:32:55Z Learning by learning to communicate Beal, Jacob Stuart Michael Gerald Jay Sussman. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2007. This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. Includes bibliographical references (p. 215-218). Human intelligence is a product of cooperation among many different specialists. Much of this cooperation must be learned, but we do not yet have a mechanism that explains how this might happen for the "high-level" agile cooperation that permeates our daily lives. I propose that the various specialists learn to cooperate by learning to communicate, basing this proposal on the phenomenon of communication bootstrapping, in which shared experiences form a basis for agreement on a system of signals. In this dissertation, I lay out a roadmap for investigating this hypothesis, identifying problems that must be overcome in order to understand the capabilities of communication bootstrapping and in order to test whether it is exploited by human intelligence. I then demonstrate progress along the course of investigation laid out in my roadmap: * I establish a measure of developmental cost that allows me to eliminate many possible designs * I develop a method of engineering devices for use in models of intelligence, including characterizing their behavior under a wide variety of conditions and compensating for their misbehavior using failure simplification. * I develop mechanisms that reliably produce communication bootstrapping such that it can be used to connect specialists in an engineered system. * I construct a demonstration system including a simulated world and pair of observers that learn world dynamics via communication bootstrapping. by Jacob Stuart Michael Beal. Ph.D. 2008-09-02T17:55:45Z 2008-09-02T17:55:45Z 2007 2007 Thesis http://hdl.handle.net/1721.1/42056 231621486 eng 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. http://dspace.mit.edu/handle/1721.1/7582 218 p. application/pdf Massachusetts Institute of Technology
collection NDLTD
language English
format Others
sources NDLTD
topic Electrical Engineering and Computer Science.
spellingShingle Electrical Engineering and Computer Science.
Beal, Jacob Stuart Michael
Learning by learning to communicate
description Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2007. === This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. === Includes bibliographical references (p. 215-218). === Human intelligence is a product of cooperation among many different specialists. Much of this cooperation must be learned, but we do not yet have a mechanism that explains how this might happen for the "high-level" agile cooperation that permeates our daily lives. I propose that the various specialists learn to cooperate by learning to communicate, basing this proposal on the phenomenon of communication bootstrapping, in which shared experiences form a basis for agreement on a system of signals. In this dissertation, I lay out a roadmap for investigating this hypothesis, identifying problems that must be overcome in order to understand the capabilities of communication bootstrapping and in order to test whether it is exploited by human intelligence. I then demonstrate progress along the course of investigation laid out in my roadmap: * I establish a measure of developmental cost that allows me to eliminate many possible designs * I develop a method of engineering devices for use in models of intelligence, including characterizing their behavior under a wide variety of conditions and compensating for their misbehavior using failure simplification. * I develop mechanisms that reliably produce communication bootstrapping such that it can be used to connect specialists in an engineered system. * I construct a demonstration system including a simulated world and pair of observers that learn world dynamics via communication bootstrapping. === by Jacob Stuart Michael Beal. === Ph.D.
author2 Gerald Jay Sussman.
author_facet Gerald Jay Sussman.
Beal, Jacob Stuart Michael
author Beal, Jacob Stuart Michael
author_sort Beal, Jacob Stuart Michael
title Learning by learning to communicate
title_short Learning by learning to communicate
title_full Learning by learning to communicate
title_fullStr Learning by learning to communicate
title_full_unstemmed Learning by learning to communicate
title_sort learning by learning to communicate
publisher Massachusetts Institute of Technology
publishDate 2008
url http://hdl.handle.net/1721.1/42056
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