Petri Net Representations in Metabolic Pathways
Proceedings of the 1st International Conference on Intelligent Systems for Molecular Biology
Comparing image compression predictors using fractal dimension
ACMOS'06 Proceedings of the 8th WSEAS international conference on Automatic control, modeling & simulation
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The paper proposes a model that relieves the characteristics of the patient evolution in SEPSIS as the result of correct or corrupted information transfer as the cell level, using for this aim methods which are specific for studying complex systems: nonlinear dynamics, statistical methods, data transmission and network theory. We place particular emphasis on network theory and its importance in augmenting the framework for the quantitative study of complex systems. Specifically, we discuss issues, arising from network theory, in our understanding the structure of cellular signaling networks involved in SEPSIS phenomena. Finally, we discuss the possibility to implement two simulation mechanisms, one based on autonomous (multi)agent blackboard architecture, for modeling intracellular communication, the other, based on small-world or even scale-free networks, for modeling intercellular communication.