Direkt zum InhaltDirekt zur Navigation

Evolving Strategies for Non-player Characters in Unsteady Environments

Karsten Weicker, Nicole Weicker
In: Applications of Evolutionary Computation, Hrsg: Mario Giacobini, Anthony Brabazon, Stefano Cagnoni, Gianni A. Di Caro, Aniko Ekart, Anna Isabel Esparcia-Alcazar, Muddassar Farooq, Andreas Fink, Penousal Machado, Berlin: Springer, pp. 313-322, 2009.



Modern computer games place different and more diverse demands on the behavior of non-player characters in comparison to computers playing classical board games like chess. Especially the necessity for a long-term strategy conflicts often with game situations that are unsteady, i.e. many non-deterministic factors might change the possible actions. As a consequence, a computer player is needed who might take into account the danger or the chance of his actions. This work examines whether it is possible to train such a player by evolutionary algorithms. For the sake of controllable game situations, the board game Kalah is turned into an unsteady version and used to examine the problem.

Nachrichten RSS
  • 22.02.2017
    Kompilation von Constraint-Programmen: Erfolgreicher Abschluß eines kooperativen Promotionsverfahrens
    Herr Diplom-Informatiker (FH) Alexander Bau, Absolvent unserer ...
JUG Saxony Camp 2017 an der HTWK 31.03.2017 09:00 - 18:00 — NIEPER-Bau der HTWK Leipzig
SKILL 2017 / Call for Papers 30.04.2017 - 30.09.2017
Masterverteidigung Anne Schüßler Raum: Z 417
Beginn: 10.03.17 - 10:00
Masterverteidigung Jonny Rillich Raum: Z 417
Beginn: 10.03.17 - 11:30
Masterverteidigung Nico Wohlfarth Raum: Z 417
Beginn: 10.03.17 - 13:30
Masterverteidigung Gregor Schuldt Raum: Raum A3 01 (Sophus-Lie-Seminarraum), Max-Planck-Institut für Mathematik in den Naturwissenschaften, Inselstraße 22, 04103 Leipzig
Beginn: 22.03.17 - 14:00