Bio-inspired Algorithms in Games

Games, and especially video games, are now a major part of the finance and software industries, and an important field for cultural expression. They also provide an excellent testbed for and application of a wide range of computational intelligence methods including evolutionary computation, neural networks, fuzzy systems, swarm intelligence, and temporal difference learning. There has been a rapid growth in research in this area over the last few years.

This event focuses on new computational intelligence or biologically inspired techniques that may be of practical value for improvement of existing games or creation of new games, as well as on innovative uses of games to improve or test computational intelligence algorithms. We expect application of the derived methods/theories to newly created or existing games, preferably video games. Especially papers referring to recent competitions (e.g. TORCS, Super Mario, Pac Man, StarCraft) are very welcome. We invite prospective participants to submit full papers following Springer’s LNCS guidelines.

Areas of Interest and Contributions

Topics include but are not limited to:

Publication Details

Accepted papers will appear in the proceedings of EvoStar, published in a volume of the Springer Lecture Notes in Computer Science, which will be available at the Conference.

Submission Details

Submissions must be original and not published elsewhere. They will be peer reviewed by members of the program committee. The reviewing process will be double-blind, so please omit information about the authors in the submitted paper.

Submit your manuscript in Springer LNCS format.

Page limit: 10 pages to http://myreview.csregistry.org/evoapps13/.

Submission deadline: 1 November 2012 Extended to 11 November 2012