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» Modeling Dependencies in Stochastic Simulation Inputs
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ATAL
2010
Springer
13 years 10 months ago
Agent interaction, multiple perspectives, and swarming simulation
Agents in a multi-agent system do not act in a vacuum. The outcome of their efforts depends on the environment in which they seek to act, and in particular on the efforts of other...
H. Van Dyke Parunak, Robert Bisson, Sven A. Brueck...
EDCC
2010
Springer
14 years 2 months ago
Dependability Analysis of Diffusion Protocols in Wireless Networks with Heterogeneous Node Capabilities
Wireless networks are starting to be populated by interconnected devices that reveal remarkable hardware and software differences. This fact raises a number of questions on the ap...
Paolo Masci, Silvano Chiaradonna, Felicita Di Gian...
ICCAD
1999
IEEE
81views Hardware» more  ICCAD 1999»
14 years 1 months ago
Modeling design constraints and biasing in simulation using BDDs
Constraining and input biasing are frequently used techniques in functional verification methodologies based on randomized simulation generation. Constraints confine the simulatio...
Jun Yuan, Kurt Shultz, Carl Pixley, Hillel Miller,...
SIMPRA
2010
95views more  SIMPRA 2010»
13 years 8 months ago
State-dependent stochastic mobility model in mobile communication networks
Abstract — We apply finite state-dependent queueing networks to model mobility in mobile communication systems. Although they have been successfully used in the past to model ve...
Frederico R. B. Cruz, P. C. Oliveira, Luiz Duczmal
CSSE
2008
IEEE
14 years 4 months ago
Stochastic Gradient Algorithm for Multi-input Systems Based on the Auxiliary Model
—This paper presents an auxiliary model based stochastic gradient parameter estimation algorithm for multiinput output-error systems by minimizing a quadratic cost function. The ...
Yuwu Liao, Xianfang Wang, Rui Feng Ding