TY  - GEN
Y1  - 2018/07//
TI  - Interacting Hierarchical Dynamic Networks
PB  - MIT Press
N1  - © 2018 Massachusetts Institute of Technology Published under a Creative Commons Attribution 4.0 International (CC BY 4.0) license (https://creativecommons.org/licenses/by/4.0/).
SP  - 582
ID  - discovery10087738
EP  - 589
N2  - In this work we present IHDNs: an original model of computation for the simulation of interacting, dynamic, multi-scale systems. We show that a novel message passing mechanism that operates across layers of abstraction in hierarchical dynamic networks is effective in expressing the complex dependencies of living systems. Using a conventional computational model of cell evolution in cancerous tumour growth for comparison, we demonstrate the validity of IHDNs in emulating the behaviour of life-like systems, as well as the additional capabilities in enabling Neo4j Cypher patternmatching queries, demonstrated here in the analysis of evolutionary cell heritage.
AV  - public
UR  - https://doi.org/10.1162/isal_a_00108
A1  - Meltzer, P
A1  - Bentley, PJ
ER  -