Disco: Workshop on Human and Machine Learning in Games


  • Markus Krause Leibniz University
  • François Bry Ludwig-Maximilians University
  • Mihai Georgescu Leibniz University




Human Computation, Digital Games, GWAP


Exploiting the playfulness of games has been extremely successful in bringing humans “in the loop” to solve com­plex computational tasks that would otherwise be hardly tractable. Although many proposals and systems after this paradigm have been developed, deployed, and tested, the relationship between play and human computation still de­serves more investigations. Most work in human computa­tion focuses on the ability for the machine to exploit, or learn from, humans. The workshop has a slightly different focus: the exploration of extending “I learn” (“disco” in Latin) to machines and humans alike. Games hold tremen­dous potential for discovery related to human and machine computation because of the intrinsic relation between play and learning. Extending and building upon the focus of past workshops on games and human computation Disco aims at exploring the intersection of entertainment, learning and human computation.




How to Cite

Krause, M., Bry, F., & Georgescu, M. (2013). Disco: Workshop on Human and Machine Learning in Games. Proceedings of the AAAI Conference on Human Computation and Crowdsourcing, 1(1), 2. https://doi.org/10.1609/hcomp.v1i1.13063



Disco: Human and Machine Learning in Games Workshop