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Massachusetts Institute of Technology

Understanding Symbolic Communication

Abstract

dc:description.abstract

We quantitatively study the emergence of symbolic communication in humans with a communication game that attempts to recapitulate an essential step in the development of human language: the emergence of shared abstract symbols in order to accomplish complex tasks. In our experimental setup, a teacher must communicate an abstract notion, a formula in first order logic rendered to them in natural language, to a student. Subjects do so through a narrow channel that deprives them of common shared symbols: they cannot see or speak to one another and must only communicate via the motions of cars in a computer game. We observe that subjects spontaneously develop a shared vocabulary of car motions for task-specific concepts, such as “square” and “forall”, as well as for task-agnostic concepts such as “your turn”. We find that symbols are harder to establish than icons and indices, and that systematically, indices develop before icons, which develop before symbols. We characterize the conditions under which indices, icons, and symbols arise, and identify communicating in ambiguous game environments as the primary pressure for icon and symbol development.

Degree

thesis:*
Name thesis:degree_name
Master
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2022

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Cheng, Emily
Advisors dc:contributor.advisor
  • Katz, Boris
  • Barbu, Andrei

Rights

dc:rights
Statement dc:rights
  • In Copyright - Educational Use Permitted
  • Copyright MIT

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1721.1/143215
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/143215

Chain of custody

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

Cheng, Emily. Understanding Symbolic Communication. Massachusetts Institute of Technology, 2022. https://hdl.handle.net/1721.1/143215