The Origin of the Speeches: Language Evolution through Collaborative Reinforcement Learning

  • Ray Walshe
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2190)


This research focuses on the artificial creation of the conditions that were necessary or facilitated language in its evolution. I propose a model for a system that has the capability to allow a complex communication protocol to evolve. In human language learning, the adult humans have already mastered the language and use their knowledge to teach infant humans. 50.000 B.C. (or whenever) when there were no adult masters of language, what conditions were necessary for the language-less homo sapiens to start developing the first language? Can machines evolve a language in a similar manner across generations? This research deals with facilitating the genesis of a communication system using evolutionary computation and reinforcement learning when initially none of the conspirators have mastered the system.


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    Humphrys, Mark (1997) Action Selection Methods using Reinforcement Learning. PhD thesis, Cambridge University.
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Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • Ray Walshe
    • 1
  1. 1.Artificial Intelligence Research GroupDept. of Computer ApplicationsDublin City UniversityIreland

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