Artificial Cell Systems Based in Gene Expression Protein Effects

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Author(s): Enrique Fernández-Blanco (University of A Coruña, Spain), Julian Dorado (University of A Coruña, Spain)and Nieves Pedreira (University of A Coruña, Spain)
Copyright: 2009
Pages: 19
Source title: Advancing Artificial Intelligence through Biological Process Applications
Source Author(s)/Editor(s): Ana B. Porto Pazos (Coruna University, Spain), Alejandro Pazos Sierra (Coruna University, Spain)and Washington Buño Buceta (Cajal Institute, Spanish Council for Scientific Research, Spain)
DOI: 10.4018/978-1-59904-996-0.ch009

Keywords: Bioinformatics / Biologically-Inspired Computing / Medical Information Science Reference / Medicine & Healthcare

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Abstract

The artificial embryogeny term overlaps all the models that try to adapt cellular properties into artificial models. This chapter presents a new model for artificial embryogeny that mimics the behaviour of biological cells, whose characteristics can be applied to solution of computational problems. The paper contains the theoretical development of the model and some test executed in an implementation of that model. The presented tests apply the model to simple structure generation and provide promising results with regard to its behaviour and applicability to more complex problems. The objective of the chapters is to be an introduction of the artificial embryogeny and shows an example of a model of these techniques.

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