Abstract
In this chapter, we present an overview of several techniques we have studied over the years to build game AI for domination games. Domination is a game style in which teams compete for control of map locations and has been very popular over the years. Due to the rules of the games, good performance is mostly dependent on overall strategy rather than the skill of individual team members. Hence, this makes domination games an ideal testbed to study game AI.
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This work was sponsored by National Science Foundation (grant #0642882). The views, opinions, and findings contained in this chapter are those of the authors and should not be interpreted as representing the official views or policies, either expressed or implied, of the NSF.
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Hogg, C., Lee-Urban, S., Muñoz-Avila, H., Auslander, B., Smith, M. (2011). Game AI for Domination Games. In: González-Calero, P., Gómez-Martín, M. (eds) Artificial Intelligence for Computer Games. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-8188-2_4
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