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Abstract

Natural language, communication or related mental phenomena must surely be a prominent candidate for an evolutionary explanation. This paper discusses a primitive model of language generation by evolution and learning among a population of artificial organisms whose brains are realized by a model of associative memory with a neural network structure. The goal of our study is to acquire general knowledge of the theory that relates the mechanisms to the evolutionary process such as language generation, and to develop the evolutionary systems which have facilities for still more intelligent information processing.

@inproceedings{arita95aPrimitive,
  author={T. Arita and Kawaguchi Unno},
  title={A Primitive Model for Language Generation by Evolution and Learning},
  year={1995},
  pages={163-170},
  booktitle={International Workshop on Biologically Inspired Evolutionary Systems},
  url={http://www.isrl.uiuc.edu/~amag/langev/paper/arita95aPrimitive.html}
}