Document Type

Conference Proceeding

Publisher

IEEE

Faculty

Computing, Health and Science

School

School of Computer & Security Science

RAS ID

10098

Comments

This article was originally published as: Hingston, P. F., Preuss, M., & Spierling, D. (2010). RedTNet: A Network Model for Strategy Games. Proceedings of IEEE Congress on Evolutionary Computation. (pp. 1-9). Barcelona International Convention Centre, Barcelona, Spain. IEEE. Original article available here

Abstract

In this work, we develop a simple, graph-based framework, RedTNet, for computational modeling of strategy games and simulations. The framework applies the concept of red teaming as a means by which to explore alternative strategies. We show how the model supports computer-based red teaming in several applications: realtime strategy games and critical infrastructure protection, using an evolutionary algorithm to automatically detect good and often surprising strategies.

DOI

10.1109/CEC.2010.5586505

 
COinS
 

Link to publisher version (DOI)

10.1109/CEC.2010.5586505