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ATAL
2008
Springer
13 years 12 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»
14 years 3 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
14 years 2 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
14 years 4 months 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
12 years 9 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