Exploring aspects of cell intelligence with artificial reaction networks

7Citations
Citations of this article
8Readers
Mendeley users who have this article in their library.
Get full text

Abstract

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.

Cite

CITATION STYLE

APA

Gerrard, C. E., McCall, J., Coghill, G. M., & Macleod, C. (2014). Exploring aspects of cell intelligence with artificial reaction networks. Soft Computing, 18(10), 1899–1912. https://doi.org/10.1007/s00500-013-1174-8

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free