Document Type
Conference Proceeding
Publisher
IEEE
Faculty
Faculty of Computing, Health and Science
School
School of Computer and Security Science
RAS ID
10098
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
Comments
This is an Author's Accepted Manuscript of: 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. Available here
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