A self-organising, self-adaptable cellular system

Authors:
Lucien Epiney;Mariusz Nowostawski
Affiliations:
Swiss Federal Institute of Technology, (EPFL), Lausanne, Switzerland;Department Information Science, University of Otago, Dunedin, New Zealand
Venue:
ECAL'05 Proceedings of the 8th European conference on Advances in Artificial Life
Year:
2005

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Abstract

Inspired by the recent advances in evolutionary biology, we have developed a self-organising, self-adaptable cellular system for multitask learning. The main aim of our project is to design and prototype a framework that facilitates building complex software systems in an automated and autonomous fashion. The current implementation consists of specialised programs that call (co-operate with) their local neighbours. The relationships between programs self-assemble in a symbiotic-like fashion. Specialisation is achieved by stochastic exploration of alternative configurations and program space. A collection of global and local behaviours have been observed and investigated. Based on preliminary experimental results, certain behaviours that spontaneously exhibit self-organisation and self-assembly are discussed.