Sciweavers

973 search results - page 1 / 195
» Arguing Using Opponent Models
Sort
View
ARGMAS
2009
Springer
13 years 8 months ago
Arguing Using Opponent Models
Nir Oren, Timothy J. Norman
IAT
2009
IEEE
13 years 8 months ago
The Benefits of Opponent Models in Negotiation
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...
GECCO
2007
Springer
201views Optimization» more  GECCO 2007»
13 years 11 months ago
Evolving explicit opponent models in game playing
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...
ROBOCUP
2004
Springer
106views Robotics» more  ROBOCUP 2004»
13 years 10 months ago
Predicting Opponent Actions by Observation
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...
Agapito Ledezma, Ricardo Aler, Araceli Sanch&iacut...
CIG
2005
IEEE
13 years 10 months ago
Similarity-based Opponent Modelling using Imperfect Domain Theories
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...
Timo Steffens