RBN-World: a sub-symbolic artificial chemistry

Authors:
Adam Faulconbridge;Susan Stepney;Julian F. Miller;Leo S. D. Caves
Affiliations:
YCCSA, University of York, Heslington, UK;YCCSA, University of York, Heslington, UK;YCCSA, University of York, Heslington, UK;YCCSA, University of York, Heslington, UK
Venue:
ECAL'09 Proceedings of the 10th European conference on Advances in artificial life: Darwin meets von Neumann - Volume Part I
Year:
2009

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Abstract

We describe a composable dynamical system that uses the emergent properties of coupled random Boolean networks (RBNs) as a basis for a sub-symbolic artificial chemistry. The approach shows potential for open-ended emergent properties and may lead to a foundation for artificial life.