Progress in the Simulation of Emergent Communication and Language  

Oleh:

Wagner, Kyle ; Reggia, James A. ; Uriagereka, Juan ; Wilkinson, Gerald S.

Jenis: Article from Journal - e-Journal
Dalam koleksi: Adaptive Behavior vol. 11 no. 1 (Mar. 2003), page 37–69.
Topik: multi-agent systems; evolution of communication; genetic algorithms; neural networks; animal communication; language
Fulltext: 37.pdf (602.41KB)

Isi artikel

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.

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