Learning the risk board game with classifier systems
Proceedings of the 2002 ACM symposium on Applied computing
On using multi-agent systems in playing board games
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Socially present board game opponents
ACE'12 Proceedings of the 9th international conference on Advances in Computer Entertainment
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While computer games can give users many other forms of immersive entertainment, the social richness that exists in face to face interactions is being lost. In this paper we start by presenting a brief review on artificial board game opponents. Given the current limitations in such opponents and with the final goal of building a Risk game artificial opponent, we describe an empirical study where utterances that human players vocalize in their games were categorized and analyzed.