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Abstract
A model of simple agents capable of sending and receiving se quences of characters and associating them with elements of a set of structured meanings is used to explore the emergence of systematic communication. In computational simulations, each member of a population alternates between learning to interpret the sequences sent by other members, and sending sequences that others learn to interpret. Eventually the agents develop highly coordinated communication systems that incorporate structural regularities reminiscent of those in human languages.BibTex
@incollection{batali98computationalSimulations,
author={J. Batali},
title={Computational simulations of the emergence of grammar},
year={1998},
pages={405-426},
address={Cambridge},
editor={Hurford, J. R. and Studdert-Kennedy, M. and Knight C.},
publisher={Cambridge University Press},
booktitle={Approaches to the Evolution of Language: Social and Cognitive Bases},
url={http://www.isrl.uiuc.edu/~amag/langev/paper/batali98computationalSimulations.html}
}
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