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» Building an agent methodology from fragments: the MEnSA expe...
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ATAL
2011
Springer
12 years 6 months ago
Game theory-based opponent modeling in large imperfect-information games
We develop an algorithm for opponent modeling in large extensive-form games of imperfect information. It works by observing the opponent’s action frequencies and building an opp...
Sam Ganzfried, Tuomas Sandholm
ICIA
2007
13 years 8 months ago
Learning Interaction between Conflicting Human Agents and Their Assistants
We build the generic methodology based on machine learning and reasoning to detect the patterns of interaction between conflicting agents, including humans and their assistants. L...
Boris Galitsky, Boris Kovalerchuk
AAAI
1998
13 years 7 months ago
Conversation Machines for Transaction Processing
We have built a set of integrated AI systems (called conversation machines) to enable transaction processing over the telephone for limited domains like stock trading and banking....
Wlodek Zadrozny, Catherine G. Wolf, Nanda Kambhatl...