RedTNet: A network model for strategy games

Philip Hingston, Mike Preuss, Daniel Spierling
2010 IEEE Congress on Evolutionary Computation  
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 dblp:conf/cec/HingstonPS10 fatcat:otq5slbfibga5iwf2ifrje3aka