Simulation: The Practice of Model Development and Use
Simulation: The Practice of Model Development and Use
Tutorial on agent-based modeling and simulation
WSC '05 Proceedings of the 37th conference on Winter simulation
Challenges for modeling and simulation methods in systems biology
Proceedings of the 38th conference on Winter simulation
Conceptual modelling: knowledge acquisition and model abstraction
Proceedings of the 40th Conference on Winter Simulation
Comparing model development in discrete event simulation and system dynamics
Winter Simulation Conference
Simulating the dynamics of T cell subsets throughout the lifetime
ICARIS'11 Proceedings of the 10th international conference on Artificial immune systems
Systems dynamics or agent-based modelling for immune simulation?
ICARIS'11 Proceedings of the 10th international conference on Artificial immune systems
To agent-based simulation from system dynamics
Proceedings of the Winter Simulation Conference
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Some common systems modelling and simulation approaches for immune problems are Monte Carlo simulations, system dynamics, discrete-event simulation and agent-based simulation. These methods, however, are still not widely adopted in immunology research. In addition, to our knowledge, there is few research on the processes for the development of simulation models for the immune system. Hence, for this work, we have two contributions to knowledge. The first one is to show the importance of systems simulation to help immunological research and to draw the attention of simulation developers to this research field. The second contribution is the introduction of a quick guide containing the main steps for modelling and simulation in immunology, together with challenges that occur during the model development. Further, this paper introduces an example of a simulation problem, where we test our guidelines.