Learning and Playing in Wubble World


  • Wesley Kerr University of Southern California
  • Paul Cohen University of Southern California
  • Yu-Han Chang University of Southern California




Children do not learn the meanings of words from parsing and understanding gigabytes of text; instead meanings are learned from competent speakers who relate language to what's happening in the child's environment. We present a word learning algorithm that operates in a video game environment where the players fill the role of the competent speakers and train softbots to learn language as a child would. We provide empirical evidence that the word learning algorithm successfully learns the meanings for some words in this environment and the children enjoy playing the game.




How to Cite

Kerr, W., Cohen, P., & Chang, Y.-H. (2021). Learning and Playing in Wubble World. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 4(1), 66-71. https://doi.org/10.1609/aiide.v4i1.18674