Pragmatically Framed Cross-Situational Noun Learning Using Computational Reinforcement Models

@article{Najnin2018PragmaticallyFC,
  title={Pragmatically Framed Cross-Situational Noun Learning Using Computational Reinforcement Models},
  author={Shamima Najnin and Bonny Banerjee},
  journal={Frontiers in Psychology},
  year={2018},
  volume={9}
}
  • Shamima Najnin, Bonny Banerjee
  • Published 2018
  • Psychology, Medicine
  • Frontiers in Psychology
  • Cross-situational learning and social pragmatic theories are prominent mechanisms for learning word meanings (i.e., word-object pairs). In this paper, the role of reinforcement is investigated for early word-learning by an artificial agent. When exposed to a group of speakers, the agent comes to understand an initial set of vocabulary items belonging to the language used by the group. Both cross-situational learning and social pragmatic theory are taken into account. As social cues, joint… CONTINUE READING

    Figures, Tables, and Topics from this paper.

    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 104 REFERENCES

    Reinforcement and inference in cross-situational word learning

    VIEW 1 EXCERPT

    Cross-situational word learning is better modeled by associations than hypotheses

    Continuous measure of word learning supports associative model

    • George Kachergis, Chen Yu
    • Computer Science
    • 4th International Conference on Development and Learning and on Epigenetic Robotics
    • 2014
    VIEW 1 EXCERPT

    A unified model of early word learning: Integrating statistical and social cues

    VIEW 15 EXCERPTS
    HIGHLY INFLUENTIAL

    Rapid Word Learning Under Uncertainty via Cross-Situational Statistics

    VIEW 1 EXCERPT