Language evolution in a noisy environment

Behrouz Touri, Cedric Langbort

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We study language formation through reinforcement learning in a signaling game over a noisy channel. We show that under the general assumption of memory-less channel, many of the results that hold for similar dynamics in a noiseless environment, hold in the presence of a noisy channel. In particular, we show that conditioned on the existence of the solution for the fluid dynamics, such dynamics admits a weak Lyapunov function. Furthermore, we show that original dynamics is convergent to the zero set of the derivative of this Lyapunov function along the trajectories of the dynamics.

Original languageEnglish (US)
Title of host publication2013 American Control Conference, ACC 2013
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1938-1943
Number of pages6
ISBN (Print)9781479901777
DOIs
StatePublished - 2013
Event2013 1st American Control Conference, ACC 2013 - Washington, DC, United States
Duration: Jun 17 2013Jun 19 2013

Publication series

NameProceedings of the American Control Conference
ISSN (Print)0743-1619

Other

Other2013 1st American Control Conference, ACC 2013
Country/TerritoryUnited States
CityWashington, DC
Period6/17/136/19/13

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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