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» The use of agents in human learning systems
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AI
2008
Springer
16 years 27 days ago
Using Unsupervised Learning for Network Alert Correlation
Alert correlation systems are post-processing modules that enable intrusion analysts to find important alerts and filter false positives efficiently from the output of Intrusion...
Reuben Smith, Nathalie Japkowicz, Maxwell Dondo, P...
ATAL
2007
Springer
16 years 21 days ago
Real-time agent characterization and prediction
Reasoning about agents that we observe in the world is challenging. Our available information is often limited to observations of the agent’s external behavior in the past and p...
H. Van Dyke Parunak, Sven Brueckner, Robert S. Mat...
ESAW
2009
Springer
15 years 4 months ago
Thinking Integral: How to Build Complex Systems That Live with People and Exhibit Collective Intelligence
009), which constitutes an abstraction of the various aspects of a MAS, generalizing the AGR approach and incorporating the institutional work of Searle (Searle 1995). This model i...
Jacques Ferber
AAAI
2006
15 years 8 months ago
Sample-Efficient Evolutionary Function Approximation for Reinforcement Learning
Reinforcement learning problems are commonly tackled with temporal difference methods, which attempt to estimate the agent's optimal value function. In most real-world proble...
Shimon Whiteson, Peter Stone
IJCNN
2007
IEEE
16 years 25 days ago
Robotic Architecture Inspired on Behavior Analysis
Learning by human tutelage means that a human being guides the attention of a robot or agent in order to teach it a given concept. This kind of learning is very important to devel...
Claudio A. Policastro, Roseli A. F. Romero, Giovan...