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Abstract

This paper investigates the problem of how language learners decipher what words mean. In most models of language evolution, agents are provided with meanings {\em a priori} and explicitly transfer them to each other as part of the communication process. By contrast, we investigate how successful communication systems can emerge without innate or transferable meanings, and show that this is dependent on the agents developing highly synchronised conceptual systems. We experiment with various cognitive, communicative and environmental factors which have an impact on the likelihood of agents achieving meaning synchronisation. We show that an intelligent meaning creation strategy in a clumpy world leads to the highest level of meaning similarity between agents.

Keywords: Meaning similarity, meaning creation, communication, language evolution

@article{smith02intelligentMeaning,
  author={Andrew D. M. Smith},
  title={Intelligent Meaning Creation in A Clumpy World Helps Communication},
  journal={Artificial Life},
  year={2003},
  volume={9},
  number={2},
  pages={175-190},
  url={http://www.isrl.uiuc.edu/~amag/langev/paper/smith02intelligentMeaning.html},
  keywords={Meaning similarity, meaning creation, communication, language evolution}
}

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