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Avdis, E. (2000) Self-Organisation of Communicating Agents -- Linguistic Diversity in Populations of Autonomous Agents.
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Self­Organisation of Communicating Agents
-- Linguistic Diversity in Populations of Autonomous Agents
Efstathios Avdis *
Department of Cybernetics
University of Reading,
PO Box 225,Reading RG6 6AY, UK
Kerstin Dautenhahn **
Department of Computer Science
University of Hertfordshire,
College Lane, Hatfield AL10 9AB, UK
Abstract This paper presents the study of a population of communicating agents living on hilly landscapes. These simple language­learning agents are utilised as the basis of investigation of complex adaptive systems processes. Such agents are able to develop their own language by interacting with each other while traversing their environments. The model can then be used to examine phenomena of self­organisation of language and adaptation of agent behaviour to the environment.
1 Introduction The use of Artificial Life techniques to investigate language and communication in Linguistics is concentrated on the experimentation with Artificial Languages (A­ Languages). A­Languages use computational approaches to the problem of explaining the origin and evolution of language. In the field of the origins of language Luc Steels and the Origins of Language Group investigate linguistic phenomena [1, 2]. Mike Oliphant, Simon Kirby and Jim Hurford have applied mathematical and computational modeling techniques to traditional issues in the evolution of communication and language [3­7]. Ezequiel di Paolo has been studying the evolution of communication, mainly through the processes of action and social coordination and spatial organisation [8]. Aude Billard and Kerstin Dautenhahn [9] have been researching grounding communication in autonomous robots that use basic vocabularies. Daniel Livingstone and Colin Fyfe have studied linguistic diversity [11] in models of distributed language learning. Epstein and Axtell [12] have been developing Sugarscape, a computational system that synthesises agent technology and Cellular Automata (CAs) to study human social phenomena.
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BibTex
@unpublished{avdis00selfOrganisation,
  author={Efstathios Avdis},
  title={Self-Organisation of Communicating Agents -- Linguistic Diversity in Populations of Autonomous Agents},
  year={2000},
  note={},
  url={http://www.isrl.uiuc.edu/~amag/langev/paper/avdis00selfOrganisation.html}
}


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