This work has been published in the 2018 Artificial Life conference (Tokyo). The full paper can be found here.
An original graph-based model of computation for the simulation of interacting, dynamic, multi-scale systems. Computation of IHDNs employs the use of a novel message passing mechanism that operates across layers of abstraction in hierachical dynamic networks to capture the complex dependencies of living (or other naturally occuring) systems.
An example simulation modelling the evolution of cancer cells in aneuploid tumour growth is included, see SimImpl.java.
- clone the project:
$ git clone [email protected]:meltzerpete/IHDN.git - compile the source:
$ mvn compile
TODO: Write usage instructions
Please read CONTRIBUTING for details on our code of conduct, and the process for submitting pull requests to us.
With thanks to Arturo Araujo for his expertise and advice on the biological modelling of cancer cells, and to [http://braintree.com/](Braintree Ltd.) for funding this research.
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