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ICCCI
2011
Springer
12 years 7 months ago
Modelling Trust for Communicating Agents: Agent-Based and Population-Based Perspectives
This paper presents an exploration of the differences between agent-based and population-based models for trust dynamics. This exploration is based on both a large variety of simu...
S. Waqar Jaffry, Jan Treur
EDBT
2004
ACM
142views Database» more  EDBT 2004»
14 years 7 months ago
Iterative Incremental Clustering of Time Series
We present a novel anytime version of partitional clustering algorithm, such as k-Means and EM, for time series. The algorithm works by leveraging off the multi-resolution property...
Jessica Lin, Michail Vlachos, Eamonn J. Keogh, Dim...
IJCAI
2001
13 years 8 months ago
R-MAX - A General Polynomial Time Algorithm for Near-Optimal Reinforcement Learning
R-max is a very simple model-based reinforcement learning algorithm which can attain near-optimal average reward in polynomial time. In R-max, the agent always maintains a complet...
Ronen I. Brafman, Moshe Tennenholtz
GLOBECOM
2010
IEEE
13 years 5 months ago
Cooperation Stimulation in Cognitive Networks Using Indirect Reciprocity Game Modelling
In cognitive networks, since nodes generally belong to different authorities and pursue different goals, they will not cooperate with others unless cooperation can improve their ow...
Yan Chen, K. J. Ray Liu

Book
1615views
15 years 5 months ago
The Not So Short Introduction to LATEX2e
"LATEX is a typesetting system that is very suitable for producing scientific and mathematical documents of high typographical quality. It is also suitable for producing all...
Tobias Oetiker