The Origin of the Speeches: Language Evolution through Collaborative Reinforcement Learning
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 (to appear), Distributing a Mind on the Internet: The World-Wide-Mind, to appear in ECAL-01, Prague, Czech Republic, September 10-14, 2001Google Scholar
- Humphrys, Mark (1996). Action Selection Methods using Reinforcement Learning. SAB’ 96. http://www.compapp.dcu.ie/~humphrys/
- Humphrys, Mark (1997) Action Selection Methods using Reinforcement Learning. PhD thesis, Cambridge University. http://www.compapp.dcu.ie/~humphrys/PhD
- Burghardt, G. M. (1970). Defining ‘communication.’. In Johnston, J., Moulton, D., and Turk, A., editors, Communication by Chemical Signals, pages 5–18, New York. NY: Appleton-Century-Crofts.Google Scholar
- Walshe, Ray and Humphrys, Mark (to appear), First Implementation of the World-Wide-Mind, poster to appear in ECAL-01,Prague, Czech Republic, 2001.Google Scholar