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ATAL
2008
Springer
15 years 8 months ago
Multi-agent approach to network intrusion detection
Our demo presents an agent-based intrusion detection system designed for deployment on high-speed backbone networks. The major contribution of the system is the integration of sev...
Martin Rehák, Michal Pechoucek, Pavel Celed...
WINE
2005
Springer
107views Economy» more  WINE 2005»
15 years 11 months ago
Price of Anarchy of Network Routing Games with Incomplete Information
We consider a class of networks where n agents need to send their traffic from a given source to a given destination over m identical, non-intersecting, and parallel links. For suc...
Dinesh Garg, Yadati Narahari
IDEAL
2009
Springer
15 years 10 months ago
The Winning Advantage: Using Opponent Models in Robot Soccer
Opponent modeling is a skill in multi-agent systems (MAS) which attempts to create a model of the behavior of the opponent. This model can be used to predict the future actions of ...
José Antonio Iglesias, Juan Antonio Fern&aa...
ECML
2007
Springer
16 years 10 days ago
Imitation Learning Using Graphical Models
Imitation-based learning is a general mechanism for rapid acquisition of new behaviors in autonomous agents and robots. In this paper, we propose a new approach to learning by imit...
Deepak Verma, Rajesh P. N. Rao
ATAL
2011
Springer
14 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