Personas versus Clones for Player Decision Modeling

  • Christoffer Holmgård
  • Antonios Liapis
  • Julian Togelius
  • Georgios N. Yannakakis
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8770)

Abstract

The current paper investigates how to model human play styles. Building on decision and persona theory we evolve game playing agents representing human decision making styles. Two methods are developed, applied, and compared: procedural personas, based on utilities designed with expert knowledge, and clones, trained to reproduce play traces. Additionally, two metrics for comparing agent and human decision making styles are proposed and compared. Results indicate that personas evolved from designer intuitions can capture human decision making styles equally well as clones evolved from human play traces.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Canossa, A., Cheong, Y.G.: Between Intention and Improvisation: Limits of Game- play Metrics Analysis and Phenomenological Debugging. DiGRA Think, Design, Play (2011)Google Scholar
  2. 2.
    Canossa, A., Drachen, A.: Play-Personas: Behaviours and Belief Systems in User-Centred Game Design. In: Gross, T., Gulliksen, J., Kotzé, P., Oestreicher, L., Palanque, P., Prates, R.O., Winckler, M. (eds.) INTERACT 2009. Part II. LNCS, vol. 5727, pp. 510–523. Springer, Heidelberg (2009)Google Scholar
  3. 3.
    Gibson, J.: The Concept of Affordances. Perceiving, Acting, and Knowing, pp. 67–82 (1977)Google Scholar
  4. 4.
    Gigerenzer, G., Gaissmaier, W.: Heuristic Decision Making. Annual Review of Psychology 62, 451–482 (2011)CrossRefGoogle Scholar
  5. 5.
    Holmgåard, C., Liapis, A., Togelius, J., Yannakakis, G.N.: Evolving Personas for Player Decision Modeling. In: IEEE Conference on Computational Intelligence and Games (2014)Google Scholar
  6. 6.
    Holmgåard, C., Liapis, A., Togelius, J., Yannakakis, G.N.: Generative Agents for Player Decision Modeling in Games. In: Foundations of Digital Games (2014)Google Scholar
  7. 7.
    Kahneman, D., Tversky, A.: Prospect theory: An Analysis of Decision under Risk. Econometrica: Journal of the Econometric Society, 263–291 (1979)Google Scholar
  8. 8.
    Mark, D.: Behavioral Mathematics for Game AI. Course Technology Cengage Learning (2009)Google Scholar
  9. 9.
    Ortega, J., Shaker, N., Togelius, J., Yannakakis, G.N.: Imitating Human Playing Styles in Super Mario Bros. Entertainment Computing 4(2), 93–104 (2013)CrossRefGoogle Scholar
  10. 10.
    Osborn, J.C., Mateas, M.: A Game-Independent Play Trace Dissimilarity Metric. Foundations of Digital Games (2014)Google Scholar
  11. 11.
    Rubinstein, A.: Modeling Bounded Rationality, vol. 1. MIT Press (1998)Google Scholar
  12. 12.
    Togelius, J., De Nardi, R., Lucas, S.M.: Towards Automatic Personalised Content Creation for Racing Games. In: IEEE Symposium on Computational Intelligence and Games, CIG 2007, pp. 252–259. IEEE (2007)Google Scholar
  13. 13.
    Togelius, J., Lucas, S.M.: Evolving Controllers for Simulated Car Racing. In: The 2005 IEEE Congress on Evolutionary Computation, vol. 2, pp. 1906–1913. IEEE (2005)Google Scholar
  14. 14.
    Van Hoorn, N., Togelius, J., Wierstra, D., Schmidhuber, J.: Robust Player Imitation using Multiobjective Evolution. In: IEEE Congress on Evolutionary Computation, CEC 2009, pp. 652–659. IEEE (2009)Google Scholar
  15. 15.
    Yannakakis, G.N., Spronck, P., Loiacono, D., André, E.: Player Modeling. In: Artificial and Computational Intelligence in Games, pp. 45–55. Dagstuhl Publishing, Aarbrücken/Wadern (2013)Google Scholar

Copyright information

© IFIP International Federation for Information Processing 2014

Authors and Affiliations

  • Christoffer Holmgård
    • 1
  • Antonios Liapis
    • 1
  • Julian Togelius
    • 1
  • Georgios N. Yannakakis
    • 1
    • 2
  1. 1.Center for Computer Games ResearchIT University of CopenhagenDenmark
  2. 2.Institute for Digital GamesUniversity of MaltaMalta

Personalised recommendations