Learning differential equation models from stochastic agent-based model simulations
Agent-based models provide a flexible framework that is frequently used for modelling many biological systems, including cell migration, molecular dynamics, ecology, and epidemiology. Analysis of the model dynamics can be challenging due to their inherent stochasticity and heavy computational requir...
| Main Authors: | , , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
Royal Society
2021
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