Exploring aspects of cell intelligence with artificial reaction networks

Claire E. Gerrard*, John McCall, George M. Coghill, Christopher Macleod

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)


The Artificial Reaction Network (ARN) is a Cell Signalling Network inspired connectionist representation belonging to the branch of A-Life known as Artificial Chemistry. Its purpose is to represent chemical circuitry and to explore computational properties responsible for generating emergent high-level behaviour associated with cells. In this paper, the computational mechanisms involved in pattern recognition and spatio-temporal pattern generation are examined in robotic control tasks. The results show that the ARN has application in limbed robotic control and computational functionality in common with Artificial Neural Networks. Like spiking neural models, the ARN can combine pattern recognition and complex temporal control functionality in a single network, however it offers increased flexibility. Furthermore, the results illustrate parallels between emergent neural and cell intelligence.

Original languageEnglish
Pages (from-to)1899-1912
Number of pages14
JournalSoft Computing
Issue number10
Early online date20 Nov 2013
Publication statusPublished - Oct 2014


  • Artificial biochemical network (ABN)
  • Artificial chemistry
  • Artificial neural network (ANN)


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