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Künstliche Intelligenz für Computerspiele

Historische Entwicklung und aktuelle Trends

Informatik-Spektrum volume 37, pages 531–538 (2014)Cite this article

Zusammenfassung

Die technische Entwicklung von Computerspielen und die Entwicklung von Methoden der Künstlichen Intelligenz (KI) gehen seit Jahrzehnten Hand in Hand. Spektakuläre Erfolge der KI in Spieleszenarien sind etwa der Sieg des Schachcomputers Deep Blue über den damaligen Weltmeister Gary Kasparow im Jahr 1997 oder der Gewinn der Quizshow Jeopardy durch das Programm Watson im Jahr 2010. Standen lange Zeit Fragen zur Implementierung möglichst intelligenter und glaubwürdiger künstlicher Spieler im Vordergrund, ergeben sich durch aktuelle Entwicklungen in den Bereichen mobile- und social gaming neue Problemstellungen für die KI. Dieser Artikel beleuchtet die historische Entwicklung der KI in Computerspielen und diskutiert die Herausforderungen, die sich in modernen Spieleszenarien ergeben.

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References

  1. Bauckhage C, Thurau C, Sagerer G (2003) Learning Human-like Opponent Behavior for Interactive Computer Games. In: Michaelis B, Krell G (eds) Pattern Recognition. LNCS, vol 2781. Springer, pp 148–155

  2. Bauckhage C, Kersting K, Sifa R, Thurau C, Drachen A, Canossa A (2012) How Players Lose Interest in Playing a Game – An Empirical Evaluation Based on Distributions of Total Playing Times. In: Proc. Int. Conf. on Computational Intelligence and Games, IEEE

  3. Berliner H (1980) Backgammon Program Beats World Champ. ACM SIGART Newslett 69:6–9

    Article  Google Scholar 

  4. Bohannon J (2010) Killer Bots Are Getting Human. Science 330:30–31

    Google Scholar 

  5. Bohannon J (2010) Game-Miners Grapple with Massive Data. Science 330:30–31

    Google Scholar 

  6. Buro M (1997) The Othello Match of the Year: Takeshi Murakami vs. Logistello. Int Comput Chess Assoc J 20(3):189–193

    Google Scholar 

  7. Cass S (2002) Mind Games. IEEE Spectrum 39(12):40–44

    Article  Google Scholar 

  8. El-Nasr M, Drachen A, Canossa A (eds) (2013) Game Analytics. Springer

  9. Herbrich R, Minka T, Graepel T (2007) TrueSkill(TM): A Bayesian Skill Rating System. In: Proc. Advances in Neural Information Processing Systems

  10. Laird J (2001) Using a Computer Game to develop advanced AI. IEEE Computer 34(7):70–75

    Article  Google Scholar 

  11. Le Hy R, Arrigioni A, Bessiere P, Lebeltel O (2004) Teaching Bayesian Behaviours to Video Game Characters. Robot Auton Syst 2–3(47):177–185

    Google Scholar 

  12. Mahlman T, Drachen A, Canossa A, Togelius J, Yannakakis G (2010) Predicting player behavior in Tomb Raider: Underworld. In: Proc. Int. Conf. on Computational Intelligence and Games, IEEE

  13. Nilsson N (1998) Artificial Intelligence: A new Synthesis. Morgan Kaufmann

  14. Nareyek A (2004) Artificial Intelligence in Computer Games – State of the Art and Future Directions. ACM Queue 1(10):58–65

    Article  Google Scholar 

  15. Reuters (2011) A Look at the $65 Billion Video Games Industry, June 2011

  16. Russel S, Norwig P (2010) Artificial Intelligence: A Modern Approach, 3rd edn. Prentice Hall

  17. Schaeffer J, van den Herik H (2001) Games, Computers, and Artificial Intelligence. Artif Intell 1–2(134):1–7

    Google Scholar 

  18. Shannon C (1950) Programming a Computer for Playing Chess. Philos Mag 41(314):256–275

    Article  MATH  MathSciNet  Google Scholar 

  19. Southey F, Bowling M, Larson B, Piccione C, Burch N, Billings D, Rayner C (2005) Bayes’ Bluff: Opponent Modeling in Poker. In: Proc. Conf. on Uncertainty in Artificial Intelligence

  20. Tesauro G (1995) Temporal Difference Learning and TD-Gammon. Commun ACM 38(3):58–68

    Article  Google Scholar 

  21. Thurau C, Bauckhage C, Sagerer G (2004) Synthesizing Movements for Computer Game Characters. In: Rasmussen C, Bülthoff H, Giese M, Schölkopf B (eds) Pattern Recognition. LNCS, vol 3175, Springer, pp 179–186

  22. Thurau C, Bauckhage C (2005) Tactical Waypoint Maps: Towards Imitating Tactics in FPS Games. In: Proc. Int. Conf. Computer Game Design and Technology. ACM

  23. Thurau C, Bauckhage C, Sagerer G (2004) Imitation Learning at all Levels of Game-AI. In: Proc. Int. Conf. Computer Games, Artificial Intelligence, Design and Education

  24. Thurau C, Bauckhage C (2010) Analyzing the Evolution of Social Groups in World of Warcraft. In: Proc. Int. Conf. on Computational Intelligence and Games, IEEE

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Authors and Affiliations

  1. Universität Bonn, Bonn, Deutschland

    Christian Bauckhage, Kristian Kersting & Christian Thurau

  2. Fraunhofer IAIS, Sankt Augustin, Deutschland

    Christian Bauckhage, Kristian Kersting & Christian Thurau

  3. TU-Dortmund, Dortmund, Deutschland

    Christian Bauckhage, Kristian Kersting & Christian Thurau

  4. Gameanalytics, Kopenhagen, Dänemark

    Christian Bauckhage, Kristian Kersting & Christian Thurau

Authors
  1. Christian Bauckhage
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  2. Kristian Kersting
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  3. Christian Thurau
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Correspondence to Christian Bauckhage.

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Bauckhage, C., Kersting, K. & Thurau, C. Künstliche Intelligenz für Computerspiele. Informatik Spektrum 37, 531–538 (2014). https://doi.org/10.1007/s00287-014-0822-4

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  • DOI: https://doi.org/10.1007/s00287-014-0822-4