In the context of multi-agent simulation of biological complex systems, we present a reaction-agent model for biological chemical kinetics that enables interaction with the simulation during the execution. In a chemical reactor with no spatial dimension -e.g. a cell-, a reaction-agent represents an autonomous chemical reaction between several reactants : it reads the concentration of reactants, adapts its reaction speed, and modifies consequently the concentration of reaction products. This approach, where the simulation engine makes agents intervene in a chaotic and asynchronous way, is an alternative to the classical model -which is not relevant when the limits conditions change- based on differential systems. We establish formal proofs of convergence for our reaction-agent methods, generally quadratic. We illustrate our model with an example about the extrinsic pathway of blood coagulation. © Springer-Verlag Berlin Heidelberg 2005.
CITATION STYLE
Redou, P., Kerdelo, S., Le Gal, C., Querrec, G., Rodin, V., Abgrall, J. F., & Tisseau, J. (2005). Reaction-agents: First mathematical validation of a multi-agent system for dynamical biochemical kinetics. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3808 LNCS, pp. 156–166). https://doi.org/10.1007/11595014_16
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