Interacting Hierarchical Dynamic Networks

被引：0
|
作者：
Meltzer, Peter [1 ,2 ]
Bentley, Peter J. [1 ,2 ]
机构：
[1] UCL, London, England
[2] Braintree Ltd, Gower St, London, England
来源：
2018 CONFERENCE ON ARTIFICIAL LIFE (ALIFE 2018) | 2018年
关键词：
MODEL;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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 pattern-matching queries, demonstrated here in the analysis of evolutionary cell heritage.
引用
收藏
页码：582 / 589
页数：8
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