Information about the opponent is essential to improve automated negotiation strategies for bilateral multiissue negotiation. In this paper we propose a negotiation strategy that e...
Koen V. Hindriks, Catholijn M. Jonker, Dmytro Tykh...
Opponent models are necessary in games where the game state is only partially known to the player, since the player must infer the state of the game based on the opponent’s acti...
Alan J. Lockett, Charles L. Chen, Risto Miikkulain...
In competitive domains, the knowledge about the opponent can give players a clear advantage. This idea lead us in the past to propose an approach to acquire models of opponents, ba...
Abstract- This paper proposes a similarity-based approach for opponent modelling in multi-agent games. The classification accuracy is increased by adding derived attributes from i...