Literature DB >> 11712956

Artificial chemistries--a review.

P Dittrich1, J Ziegler, W Banzhaf.   

Abstract

This article reviews the growing body of scientific work in artificial chemistry. First, common motivations and fundamental concepts are introduced. Second, current research activities are discussed along three application dimensions: modeling, information processing, and optimization. Finally, common phenomena among the different systems are summarized. It is argued here that artificial chemistries are "the right stuff" for the study of prebiotic and biochemical evolution, and they provide a productive framework for questions regarding the origin and evolution of organizations in general. Furthermore, artificial chemistries have a broad application range of practical problems, as shown in this review.

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Year:  2001        PMID: 11712956     DOI: 10.1162/106454601753238636

Source DB:  PubMed          Journal:  Artif Life        ISSN: 1064-5462            Impact factor:   0.667


  22 in total

1.  The ecology of action selection: insights from artificial life.

Authors:  Anil K Seth
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2007-09-29       Impact factor: 6.237

2.  How to Build a Biological Machine Using Engineering Materials and Methods.

Authors:  Alex Ellery
Journal:  Biomimetics (Basel)       Date:  2020-07-26

3.  Insights into resource consumption, cross-feeding, system collapse, stability and biodiversity from an artificial ecosystem.

Authors:  Yu Liu; David Sumpter
Journal:  J R Soc Interface       Date:  2017-01       Impact factor: 4.118

4.  Dynamic modulation of external conditions can transform chemistry into logic gates.

Authors:  Matthew Egbert; Jean-Sébastien Gagnon; Juan Pérez-Mercader
Journal:  J R Soc Interface       Date:  2018-07       Impact factor: 4.118

5.  Embodied artificial evolution: Artificial evolutionary systems in the 21st Century.

Authors:  A E Eiben; S Kernbach; Evert Haasdijk
Journal:  Evol Intell       Date:  2012-04-20

6.  Training an asymmetric signal perceptron through reinforcement in an artificial chemistry.

Authors:  Peter Banda; Christof Teuscher; Darko Stefanovic
Journal:  J R Soc Interface       Date:  2014-01-29       Impact factor: 4.118

7.  Defining and simulating open-ended novelty: requirements, guidelines, and challenges.

Authors:  Wolfgang Banzhaf; Bert Baumgaertner; Guillaume Beslon; René Doursat; James A Foster; Barry McMullin; Vinicius Veloso de Melo; Thomas Miconi; Lee Spector; Susan Stepney; Roger White
Journal:  Theory Biosci       Date:  2016-05-19       Impact factor: 1.919

8.  Emergence of self-reproduction in cooperative chemical evolution of prebiological molecules.

Authors:  Maya Fishkis
Journal:  Orig Life Evol Biosph       Date:  2010-09-01       Impact factor: 1.950

9.  Signatures of arithmetic simplicity in metabolic network architecture.

Authors:  William J Riehl; Paul L Krapivsky; Sidney Redner; Daniel Segrè
Journal:  PLoS Comput Biol       Date:  2010-04-01       Impact factor: 4.475

10.  Efficient reconstruction of metabolic pathways by bidirectional chemical search.

Authors:  Liliana Félix; Francesc Rosselló; Gabriel Valiente
Journal:  Bull Math Biol       Date:  2008-12-20       Impact factor: 1.758

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