In this paper, we show how our AI opponents learn internal representations of probabilities. We use a Bayesian interpretation of such subjectivist probabilities but do not impleme...
Interactive computer games are widely seen as a killer application domain for Artificial Intelligence (AI) [8]. Quite apart from the significant size of the games market in terms...
The aim of developing an agent that is able to adapt its actions in response to their effectiveness within the game provides the basis for the research presented in this paper. It ...
AI techniques are already widely used in game software to provide computer-controlled opponents for human players. However, game design is a more-challenging problem than game pla...