A hybrid simulation model for studying acute inflammatory response
SpringSim '07 Proceedings of the 2007 spring simulation multiconference - Volume 2
The value of multiple representations for learning about complex systems
ICLS'08 Proceedings of the 8th international conference on International conference for the learning sciences - Volume 2
Hybrid simulation models - When, Why, How?
Expert Systems with Applications: An International Journal
Applying methods of the M&S spectrum for complex systems engineering
SpringSim '10 Proceedings of the 2010 Spring Simulation Multiconference
Investigating immune system aging: system dynamics and agent-based modeling
Proceedings of the 2010 Summer Computer Simulation Conference
Systems dynamics or agent-based modelling for immune simulation?
ICARIS'11 Proceedings of the 10th international conference on Artificial immune systems
Proceedings of the 2011 Summer Computer Simulation Conference
SCSC '09 Proceedings of the 2009 Summer Computer Simulation Conference
Cross-paradigm simulation modeling: challenges and successes
Proceedings of the Winter Simulation Conference
To agent-based simulation from system dynamics
Proceedings of the Winter Simulation Conference
Comparative analysis of agent-based and population-based modelling in epidemics and economics
Multiagent and Grid Systems
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Cellular receptor dynamics are often analyzed using differential equations, making system dynamics (SD) a candidate methodology. In some cases it may be useful to model the phenomena at the biomolecular level, especially when concentrations and reaction probabilities are low and might lead to unexpected behavior modes. In such cases, agent-based simulation (ABS) may be useful. We show the application of both SD and ABS to simulate non-equilibrium ligand-receptor dynamics over a broad range of concentrations, where the probability of interaction varies from low to very low. Both approaches offer much to the researcher and are complementary. We did not find a clear demarcation indicating when one paradigm or the other would be strongly preferred, although SD is an obvious choice when studying systems at a high level of aggregation and abstraction, and ABS is well suited to studying phenomena at the level of individual receptors and molecules.