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Abstract

Evolutionary robotics is a biologically inspired approach to robotics that is advantageous to studying the evolution of communication. A new model for the emergence of communication is developed and tested through various simulation experiments. In the first simulation, the emergence of simple signalling behaviour is studied. This is used to investigate the inter-relationships between communication abilities, namely linguistic production and comprehension, and other behavioural skills. The model supports the hypothesis that the ability to form categories from direct interaction with an environment constitutes the grounds for subsequent evolution of communication and language. In the second simulation, evolutionary robots are used to study the emergence of simple syntactic categories, e.g. action names (verbs). Comparisons between the two simulations indicate that the signalling lexicon emerged in the first simulation follows the evolutionary pattern of nouns, as observed in related models on the evolution of syntactic categories. Results also support the language-origin hypothesis on the fact that nouns precede verbs in both phylogenesis and ontogenesis. Further extensions of this new evolutionary robotic model for testing hypotheses on language origins are also discussed.

@article{marocco03pt,
  author={Davide Marocco and Angelo Cangelosi and Stefano Nolfi},
  title={The emergence of communication in evolutionary robots},
  journal={Philosophical Transactions: Mathematical, Physical and Engineering Sciences},
  year={2003},
  volume={361},
  number={1811},
  pages={2397--2421},
  doi={10.1098/rsta.2003.1252},
  url={http://www.isrl.uiuc.edu/~amag/langev/paper/marocco03pt.html}
}

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