Cross-situational learning of object-word mapping using Neural Modeling Fields

@article{Fontanari2009CrosssituationalLO,
  title={Cross-situational learning of object-word mapping using Neural Modeling Fields},
  author={Jos{\'e} F. Fontanari and Vadim Tikhanoff and Angelo Cangelosi and Roman Ilin and Leonid I. Perlovsky},
  journal={Neural networks : the official journal of the International Neural Network Society},
  year={2009},
  volume={22 5-6},
  pages={
          579-85
        }
}
The issue of how children learn the meaning of words is fundamental to developmental psychology. The recent attempts to develop or evolve efficient communication protocols among interacting robots or virtual agents have brought that issue to a central place in more applied research fields, such as computational linguistics and neural networks, as well. An attractive approach to learning an object-word mapping is the so-called cross-situational learning. This learning scenario is based on the… CONTINUE READING
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