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

© 2010 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

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

Access Rights

free_to_read

 
COinS
 

Link to publisher version (DOI)

10.1109/CEC.2010.5586505