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Adaptive Behavior
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Progress in the Simulation of Emergent Communication and Language

Kyle Wagner

Sparta, Inc., kwagner{at}sparta.com

James A. Reggia

Department of Computer Science, University of Maryland, College Park, reggia{at}cs.umd.edu

Juan Uriagereka

Department of Linguistics, University of Maryland, College Park

Gerald S. Wilkinson

Department of Biology, University of Maryland, College Park

This article reviews recent progress made by computational studies investigating the emergence, via learning or evolutionary mechanisms, of communication among a collection of agents. This work spans issues related to animal communication and the origins and evolution of language. The studies reviewed show how population size, spatial constraints on agent interactions, and the tasks involved can all influence the nature of the communication systems and the ease with which they are learned and/or evolved. Although progress in this area has been substantial, we are able to identify some important areas for future research in the evolution of language, including the need for further computational investigation of key aspects of language such as open vocabulary and the more complex aspects of syntax.

Key Words: multi-agent systems • evolution of communication • genetic algorithms • neural networks • animal communication • language

Adaptive Behavior, Vol. 11, No. 1, 37-69 (2003)
DOI: 10.1177/10597123030111003
Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati    What's this?