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Massachusetts Institute of Technology

Learning by learning to communicate

Abstract

dc:description.abstract

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.

Degree

thesis:*
Department dc:contributor.department
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2007

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Beal, Jacob Stuart Michael
Advisor dc:contributor.advisor
  • Gerald Jay Sussman.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • 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.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1721.1/42056
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/42056

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Beal, Jacob Stuart Michael. Learning by learning to communicate. Massachusetts Institute of Technology, 2007. http://hdl.handle.net/1721.1/42056