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1.
Biosystems ; 94(1-2): 164-9, 2008.
Artigo em Inglês | MEDLINE | ID: mdl-18611430

RESUMO

Bio-inspiration borrows three properties characteristic of living organisms: multicellular architecture, cellular division, and cellular differentiation. Implemented in silicon according to these properties, our self-organizing systems are able to grow, to self-replicate, and to self-repair. The growth and branching processes, performed by the so-called Tom Thumb algorithm, lead thus to the configuration and cloning mechanisms of the systems. The repair processes allow its cicatrization and regeneration mechanisms. The cellular design and hardware implementation of these mechanisms constitute the core of this paper.


Assuntos
Algoritmos , Fenômenos Fisiológicos Celulares , Biologia Computacional/métodos , Modelos Biológicos , Simulação por Computador , Computadores
2.
Biosystems ; 76(1-3): 157-67, 2004.
Artigo em Inglês | MEDLINE | ID: mdl-15351139

RESUMO

After a survey of the theory and some realizations of self-replicating machines, this paper presents a novel self-replicating loop endowed with universal construction and computation properties. Based on the hardware implementation of the so-called Tom Thumb algorithm, the design of this loop leads to a new kind of cellular automaton made of a processing and a control units. The self-replication of the Swiss flag serves as an artificial cell division example of the loop which, according to autopoietic evaluation criteria, corresponds to a cell showing the phenomenology of a living system.


Assuntos
Algoritmos , Inteligência Artificial , Evolução Biológica , Divisão Celular/fisiologia , Retroalimentação/fisiologia , Modelos Biológicos , Animais , Proliferação de Células , Simulação por Computador , Humanos
3.
Biosystems ; 68(2-3): 235-44, 2003.
Artigo em Inglês | MEDLINE | ID: mdl-12595122

RESUMO

Biological inspiration in the design of computing machines could allow the creation of new machines with promising characteristics such as fault-tolerance, self-replication or cloning, reproduction, evolution, adaptation and learning, and growth. The aim of this paper is to introduce bio-inspired computing tissues that might constitute a key concept for the implementation of 'living' machines. We first present a general overview of bio-inspired systems and the POE model that classifies bio-inspired machines along three axes. The Embryonics project--inspired by some of the basic processes of molecular biology--is described by means of the BioWatch application, a fault-tolerant and self-repairable watch. The main characteristics of the Embryonics project are the multicellular organization, the cellular differentiation, and the self-repair capabilities. The BioWall is intended as a reconfigurable computing tissue, capable of interacting with its environment by means of a large number of touch-sensitive elements coupled with a color display. For illustrative purposes, a large-scale implementation of the BioWatch on the BioWall's computational tissue is presented. We conclude the paper with a description of bio-inspired computing tissues and POEtic machines.


Assuntos
Biologia Computacional , Diferenciação Celular , Filogenia
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