Knowledge vs. simulation for bidding in tarok

  • Marinčič D
  • Gams M
  • Luštrek M
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Two approaches for bidding in games are presented: knowledge-based approach and simulation-based approach. A general knowledge-based decision model for bidding in games with its strategy encoded in a Bayesian network was designed. A program for playing four-player tarok was implemented incorporating a specialised instance of the decision model and a simulation module for bidding. Both approaches were compared. The knowledge-based decision model was further compared to human experts, showing that it performs on par with them.

Author-supplied keywords

  • Bayesian networks
  • Computer games
  • Simulation
  • Tarok

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  • SCOPUS: 2-s2.0-33846443618
  • PUI: 46144893
  • SGR: 33846443618
  • ISSN: 03505596


  • Domen Marinčič

  • Matjaž Gams

  • Mitja Luštrek

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