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CEEMAS
2007
Springer
16 years 28 days ago
Collaborative Attack Detection in High-Speed Networks
We present a multi-agent system designed to detect malicious traffic in high-speed networks. In order to match the performance requirements related to the traffic volume, the net...
Martin Rehák, Michal Pechoucek, Pavel Celed...
ATAL
2010
Springer
15 years 7 months ago
Combining statistics and arguments to compute trust
We propose a method for constructing Dempster-Shafer belief functions modeling the trust of a given agent (the evaluator) in another (the target) by combining statistical informat...
Paul-Amaury Matt, Maxime Morge, Francesca Toni
IUI
2003
ACM
15 years 12 months ago
Lessons learned in modeling schizophrenic and depressed responsive virtual humans for training
This paper describes lessons learned in developing the linguistic, cognitive, emotional, and gestural models underlying virtual human behavior in a training application designed t...
Robert C. Hubal, Geoffrey A. Frank, Curry I. Guinn
IJCNN
2008
IEEE
16 years 1 months ago
Self-organizing neural models integrating rules and reinforcement learning
— Traditional approaches to integrating knowledge into neural network are concerned mainly about supervised learning. This paper presents how a family of self-organizing neural m...
Teck-Hou Teng, Zhong-Ming Tan, Ah-Hwee Tan
ATAL
2008
Springer
15 years 8 months ago
A distributed normative infrastructure for situated multi-agent organisations
In most of the existing approaches to the design of multiagent systems, there is no clear way in which to relate organisational and normative structures to the model of the enviro...
Fabio Y. Okuyama, Rafael H. Bordini, Antônio...