EPSRC Network on Evolvability in Biology & Software Systems

Evolvability, Genetics & Development in Natural and Constructed Systems: Abstracts of the EPSRC Evolvability Network Symposium

Tewin Bury Farm Hotel, Hertfordshire, England, UK
26-28 August 2003

University of Hertfordshire Computer Science Technical Report 389
C. L. Nehaniv, P. J. Bentley & S. Kumar (Editors)

Evolving GRNs as Real-Time Behavioural Control Systems

Evolving GRNs as Real-Time Behavioural Control Systems


Department of Computer Science
University College London
Gower Street, London WC1E 6BT, UK


Adaptive Systems Research Group
University of Hertfordshire
Hatfield Herts AL10 9AB
United Kingdom

C.L.Nehaniv@herts.ac.uk, K.Dautenhahn@herts.ac.uk

In contrast with GRN models that use genotype to phenotype mappings inspired by the process of biological development as a technique for pattern formation (Eggenberger, Kumar) or the production of artifical agent body plans and neural network controllers (Dellaert and Beer, Bongard), we present a model that focuses on the evolution of heritable regulatory mechanisms in populations of artificial organisms as a technique for producing emergent behaviour via continual coupling to an environment. Rather than using GRNs to produce control systems the run-time operation of which GRNs play no part in, in our model GRNs are the primary drivers of behavioural dynamics throughout artificial organisms' lifetimes.