Solving ordinary differential equations I (2nd revised. ed.): nonstiff problems
Solving ordinary differential equations I (2nd revised. ed.): nonstiff problems
Agent-oriented software engineering: the state of the art
First international workshop, AOSE 2000 on Agent-oriented software engineering
Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
Uses of Multiagents Systems for Simulation of MAPK Pathway
BIBE '03 Proceedings of the 3rd IEEE Symposium on BioInformatics and BioEngineering
Cell Modeling Using Agent-Based Formalisms
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3
Agent-Based Scientific Simulation
Computing in Science and Engineering
Formal Validation of Asynchronous Interaction-Agents Algorithms for Reaction-Diffusion Problems
Proceedings of the 21st International Workshop on Principles of Advanced and Distributed Simulation
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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.