Code Regulation in Open Ended Evolution

author = "Lidia Yamamoto",

title = "Code Regulation in Open Ended Evolution",

editor = "Marc Ebner and Michael O'Neill and Anik\'o Ek\'art and Leonardo Vanneschi and Anna Isabel Esparcia-Alc\'azar",

booktitle = "Proceedings of the 10th European Conference on Genetic Programming",

publisher = "Springer",

series = "Lecture Notes in Computer Science",

volume = "4445",

year = "2007",

address = "Valencia, Spain",

month = "11-13 " # apr,

pages = "271--280",

keywords = "genetic algorithms, genetic programming",

ISBN = "3-540-71602-5",

isbn13 = "978-3-540-71602-0",

DOI = "

doi:10.1007/978-3-540-71605-1_25",

abstract = "We explore a homoeostatic approach to program execution in computer systems: the 'concentration' of computation services is regulated according to their fitness. The goal is to obtain a self-healing effect so that the system can resist harmful mutations that could happen during on-line evolution. We present a model in which alternative program variants are stored in a repository representing the organism's 'genotype'. Positive feedback signals allow code in the repository to be expressed (in analogy to gene expression in biology), meaning that it is injected into a reaction vessel (execution environment) where it is executed and evaluated. Since execution is equivalent to a chemical reaction, the program is consumed in the process, therefore needs more feedback in order to be re-expressed. This leads to services that constantly regulate themselves to a stable condition given by the fitness feedback received from the users or the environment. We present initial experiments using this model, implemented using a chemical computing language.",

notes = "Part of \cite{ebner:2007:GP} EuroGP'2007 held in conjunction with EvoCOP2007, EvoBIO2007 and EvoWorkshops2007",