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ECAL
1995
Springer
13 years 11 months ago
Elements of a Theory of Simulation
Arti cial Life and the more general area of Complex Systems does not have a uni ed theoretical framework although most theoretical work in these areas is based on simulation. This ...
Steen Rasmussen, Christopher L. Barrett
IPSN
2004
Springer
14 years 29 days ago
Estimation from lossy sensor data: jump linear modeling and Kalman filtering
Due to constraints in cost, power, and communication, losses often arise in large sensor networks. The sensor can be modeled as an output of a linear stochastic system with random...
Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal
ETRICS
2006
13 years 11 months ago
Possibilistic Information Flow Control in MAKS and Action Refinement
Abstract. Formal methods emphasizes the need for a top-down approach when developing large reliable software systems. Refinements are map step by step abstract algebraic specificat...
Dieter Hutter
BMCBI
2007
103views more  BMCBI 2007»
13 years 7 months ago
Dynamic simulation of regulatory networks using SQUAD
Background: The ambition of most molecular biologists is the understanding of the intricate network of molecular interactions that control biological systems. As scientists uncove...
Alessandro Di Cara, Abhishek Garg, Giovanni De Mic...
ESEC
1999
Springer
13 years 12 months ago
The CIP Method: Component- and Model-Based Construction of Embedded Systems
CIP is a model-based software development method for embedded systems. The problem of constructing an embedded system is decomposed into a functional and a connection problem. The ...
Hugo Fierz