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WSC
2007
13 years 11 months ago
Optimizing time warp simulation with reinforcement learning techniques
Adaptive Time Warp protocols in the literature are usually based on a pre-defined analytic model of the system, expressed as a closed form function that maps system state to cont...
Jun Wang, Carl Tropper
ESWA
2008
169views more  ESWA 2008»
13 years 8 months ago
Predicting opponent's moves in electronic negotiations using neural networks
Electronic negotiation experiments provide a rich source of information about relationships between the negotiators, their individual actions, and the negotiation dynami...
Réal Carbonneau, Gregory E. Kersten, Rustam...
AICOM
2005
91views more  AICOM 2005»
13 years 8 months ago
Multiagent systems for cardiac pacing simulation and control
Abstract. Simulating and controlling physiological phenomena are complex tasks to tackle. This is due to the fact that physiological processes are usually described by a set of par...
Francesco Amigoni, Alessandro Beda, Nicola Gatti
DAC
2008
ACM
14 years 9 months ago
Statistical modeling and simulation of threshold variation under dopant fluctuations and line-edge roughness
The threshold voltage (Vth) of a nanoscale transistor is severely affected by random dopant fluctuations and line-edge roughness. The analysis of these effects usually requires at...
Yun Ye, Frank Liu, Sani R. Nassif, Yu Cao
MODELS
2007
Springer
14 years 2 months ago
ModHel'X: A Component-Oriented Approach to Multi-Formalism Modeling
Abstract. We present ModHel’X, an approach to multi-formalism modeling which addresses two important issues in this field: (a) providing support for the specification of the se...
Cécile Hardebolle, Frédéric B...