Skip to main content

StarCraft Bots and Competitions

  • Living reference work entry
  • First Online:
Encyclopedia of Computer Graphics and Games

Synonyms

AI; Artificial intelligence; Competition; Game AI; Real-Time Strategy games; RTS games; StarCraft

Definition

Real-time strategy (RTS) games is a subgenre of strategy games where players need to build an economy (gathering resources and building a base) and military power (training units and researching technologies) in order to defeat their opponents (destroying their army and base). Artificial intelligence (AI) problems related to RTS games deal with the behavior of an artificial player. Since 2010, many international competitions have been organized to match AIs, or bots, playing to the RTS game StarCraft. This entry presents a review of all major international competitions from 2010 until 2015 and details some competing StarCraft bots.

State-of-the-Art Bots for StarCraft

Thanks to the recent organization of international game AI competitions focused around the popular StarCraft game, several groups have been working on integrating many of the techniques developed for RTS...

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Institutional subscriptions

References

  • Aha, D.W., Molineaux, M., Ponsen, M.J.V.: Learning to win: case-based plan selection in a real-time strategy game. In: ICCBR, pp. 5–20. Springer LNAI 3620, Chicago, USA (2015)

    Google Scholar 

  • Auer, P., Cesa-Bianchi, N., Fischer, P.: Finite-time analysis of the multiarmed bandit problem. Mach. Learn. 47(2), 235–256 (2002)

    Article  MATH  Google Scholar 

  • Churchill, D., Buro, M.: Build order optimization in starcraft. Seventh Artificial Intelligence and Interactive Digital Entertainment Conference (AIIDE 2011), pp. 14–19. AAAI press, Palo Alto, USA (2011)

    Google Scholar 

  • Hagelbäck, J.: Potential-field based navigation in starcraft. In: CIG (IEEE). IEEE, Granada, Spain (2012)

    Google Scholar 

  • Marthi, B., Russell, S., Latham, D., Guestrin, C.: Concurrent hierarchical reinforcement learning. In: International Joint Conference of Artificial Intelligence, IJCAI. pp. 779–785 (2005)

    Google Scholar 

  • Mattsson, B.P., Vajda, T., Čertickỳ, M.: Automatic observer script for starcraft: Brood war bot games (technical report). arXiv preprint arXiv:1505.00278 (2015)

    Google Scholar 

  • Ontañón, S., Mishra, K., Sugandh, N., Ram, A.: On-line case-based planning. Comput. Intell. 26(1), 84–119 (2010)

    Article  MathSciNet  Google Scholar 

  • Synnaeve, G., Bessiere, P.: A bayesian model for RTS units control applied to StarCraft. In: Proceedings of IEEE CIG 2011. Seoul (2011)

    Google Scholar 

  • Uriarte, A., Ontañón, S.: Kiting in rts games using influence maps. In: Eighth Artificial Intelligence and Interactive Digital Entertainment Conference (AIIDE 2012) (2012)

    Google Scholar 

  • Young, J., Hawes, N.: Evolutionary learning of goal priorities in a real-time strategy game. In: Eighth Artificial Intelligence and Interactive Digital Entertainment Conference (AIIDE 2012) (2012)

    Google Scholar 

  • Young, J., Smith, F., Atkinson, C., Poyner, K., Chothia, T.: SCAIL: an integrated starcraft AI system. In: CIG (IEEE) (2012)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to David Churchill , Mike Preuss , Florian Richoux , Gabriel Synnaeve , Alberto Uriarte or Santiago Ontañnón .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this entry

Cite this entry

Churchill, D. et al. (2016). StarCraft Bots and Competitions. In: Lee, N. (eds) Encyclopedia of Computer Graphics and Games. Springer, Cham. https://doi.org/10.1007/978-3-319-08234-9_18-1

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-08234-9_18-1

  • Received:

  • Accepted:

  • Published:

  • Publisher Name: Springer, Cham

  • Online ISBN: 978-3-319-08234-9

  • eBook Packages: Springer Reference Computer SciencesReference Module Computer Science and Engineering

Publish with us

Policies and ethics