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WSC '05 Proceedings of the 37th conference on Winter simulation
A markov decision process model for strategic decision making in sailboat racing
Canadian AI'11 Proceedings of the 24th Canadian conference on Advances in artificial intelligence
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Annual Review of Information Science and Technology
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We outline the development of a model for predicting the outcome of a yacht match race between two competing designs. The model is a fixed-time-increment simulation that accounts for the dynamic performance of each yacht. The wind speed and direction are modelled using hidden Markov chain models. Each yacht is assumed to follow a fixed sailing strategy determined by a set of simple decision rules. The simulation models both yachts simultaneously and accounts for interactions between them-for example, when they cross. The model is illustrated by applying it to International America's Cup Class designs.