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» Opponent Modeling in Scrabble
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ESWA
2008
169views more  ESWA 2008»
13 years 4 months ago
Predicting opponent's moves in electronic negotiations using neural networks
Electronic negotiation experiments provide a rich source of information about relationships between the negotiators, their individual actions, and the negotiation dynami...
Réal Carbonneau, Gregory E. Kersten, Rustam...
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
GAMEON
2007
13 years 6 months ago
Opponent Modeling in Real-Time Strategy Games
Real-time strategy games present an environment in which game AI is expected to behave realistically. One feature of realistic behaviour in game AI is the ability to recognise the...
Frederik Schadd, Sander Bakkes, Pieter Spronck
IWEC
2004
13 years 6 months ago
Probabilistic Opponent-Model Search in Bao
In Probabilistic Opponent-Model search(PrOM search) the opponent is modelled by a mixed strategy of N opponent types 0 . . .
Jeroen Donkers, H. Jaap van den Herik, Jos W. H. M...
ROBOCUP
2001
Springer
126views Robotics» more  ROBOCUP 2001»
13 years 9 months ago
Recognizing Probabilistic Opponent Movement Models
In multiagent adversarial domains, team agents should adapt to the environment and opponent. We introduce a model representation as part of a planning process for a simulated socce...
Patrick Riley, Manuela M. Veloso