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Mario Kart Is Hard

  • Jeffrey Bosboom
  • Erik D. Demaine
  • Adam Hesterberg
  • Jayson LynchEmail author
  • Erik Waingarten
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9943)

Abstract

Nintendo’s Mario Kart is perhaps the most popular racing video game franchise. Players race alone or against opponents to finish in the fastest time possible. Players can also use items to attack and defend from other racers. We prove two hardness results for generalized Mario Kart: deciding whether a driver can finish a course alone in some given time is \(\mathrm {NP}\)-hard, and deciding whether a player can beat an opponent in a race is \(\mathrm {PSPACE}\)-hard.

Keywords

Time Trial Satisfying Assignment Traversal Time Race Track Variable Gadget 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. [ADGV15]
    Aloupis, G., Demaine, E.D., Guo, A., Viglietta, G.: Classic Nintendo games are (computationally) hard. Theoret. Comput. Sci. 586, 135–160 (2015)MathSciNetCrossRefzbMATHGoogle Scholar
  2. [BK94]
    Biedl, T., Kant, G.: A better heuristic for orthogonal graph drawings. In: Leeuwen, J. (ed.) ESA 1994. LNCS, vol. 855, pp. 24–35. Springer, Heidelberg (1994). doi: 10.1007/BFb0049394 Google Scholar
  3. [For10]
    Forišek, M.: Computational complexity of two-dimensional platform games. In: Boldi, P., Gargano, L. (eds.) FUN 2010. LNCS, vol. 6099, pp. 214–227. Springer, Heidelberg (2010). doi: 10.1007/978-3-642-13122-6_22 CrossRefGoogle Scholar
  4. [Gui14]
    Guinness World Records: Best-selling racing videogame (2014). http://www.guinnessworldrecords.com/world-records/best-selling-racing-video-game/
  5. [Sal]
  6. [Vig14]
    Viglietta, G.: Gaming is a hard job, but someone has to do it!. Theory Comput. Syst. 54(4), 595–621 (2014)MathSciNetCrossRefzbMATHGoogle Scholar

Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  • Jeffrey Bosboom
    • 1
  • Erik D. Demaine
    • 1
  • Adam Hesterberg
    • 1
  • Jayson Lynch
    • 1
    Email author
  • Erik Waingarten
    • 2
  1. 1.MIT Computer Science and Artificial Intelligence LaboratoryCambridgeUSA
  2. 2.Department of Computer ScienceColumbia UniversityNew YorkUSA

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