The Origin of the Speeches: language evolution through collaborative reinforcement learning. (2001) [4 citations — 0 self]
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author = {Ray Walshe},
title = {The Origin of the Speeches: language evolution through collaborative reinforcement learning.},
booktitle = {the 6th European Conference on Artificial Life (ECAL-01},
year = {2001}
}
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Abstract:
This project proposes that language evolve through reinforcement learning where agents communicate with each other and provide rewards if communication is successful. The fundamental difference between the learning mechanisms that humans use to communicate with one another and how machines learn to communicate is that the system used by humans presupposes that the adult already knows the meanings associated with the human language. Languages evolve historically to be optimal communication systems where human language learning mechanisms have evolved in order to learn these systems more efficiently. Machines in their learning of natural language, have to start at a place that humans mastered thousands of years ago. Uttering previously unheard signals and collectively establishing meaning. The question that this paper deals with is how can a communication system evolve if none of the conspirators have mastered the system previously using evolutionary computation and reinforcement learning 1
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