SOSÍK, Petr, Vladimír SMOLKA, Jan DRASTIK, Tyler G. MOORE and Max H. GARZÓN. Morphogenetic and homeostatic self-assembled systems. Online. In Patitz, M.J.; Stannett, M. Lecture Notes in Computer Science. 10240th ed. Cham: Springer Verlag, 2017, p. 144-159. ISBN 978-3-319-58187-3. Available from: https://dx.doi.org/10.1007/978-3-319-58187-3_11.
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Basic information
Original name Morphogenetic and homeostatic self-assembled systems
Authors SOSÍK, Petr (203 Czech Republic, guarantor, belonging to the institution), Vladimír SMOLKA (203 Czech Republic, belonging to the institution), Jan DRASTIK (203 Czech Republic, belonging to the institution), Tyler G. MOORE (840 United States of America) and Max H. GARZÓN (840 United States of America).
Edition 10240. vyd. Cham, Lecture Notes in Computer Science, p. 144-159, 16 pp. 2017.
Publisher Springer Verlag
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher Germany
Confidentiality degree is not subject to a state or trade secret
Publication form electronic version available online
WWW URL
RIV identification code RIV/47813059:19240/17:A0000086
Organization Filozoficko-přírodovědecká fakulta – Slezská univerzita v Opavě – Repository
ISBN 978-3-319-58187-3
ISSN 0302-9743
Doi http://dx.doi.org/10.1007/978-3-319-58187-3_11
Keywords in English Atomic components; Living organisms; Local interactions; Membrane computing; Natural evolution; Self-assembled systems; Self-healing properties; Abstract modeling
Tags SGS132016, ÚI
Tags International impact, Reviewed
Links LQ1602, research and development project.
Changed by Changed by: Mgr. Kamil Matula, učo 1145. Changed: 26/3/2018 08:49.
Abstract
As a natural evolution of developments in membrane computing and self-assembly, the time appears ripe to hybridize their principles to explore models capable of exhibiting further properties exhibited by living organisms, while preserving the primary advantages of models in physics, chemistry and computer science, e.g. arising from local interactions of their components and implementable in silico and/or in vitro. We introduce an abstract model named M system, capable of self assembly and a developmental process, that strikes a balance between these conflicting goals, namely biological realism, physical-chemical realism and computational realism. We demonstrate that such systems are capable of being assembled from scratch from some atomic components, undergo a process of morphogenesis by the unfolding of the self-assembly rules defined by their local interactions, exhibit crucial properties of living cells as the self-healing property or mitosis (cell division), and eventually enter a stable equilibrium of adulthood in which they will continue to function as long as certain conditions in their environment remain. We present some theoretical results on the model, as well as preliminary simulations and experimental results of an M system simulator we have developed to explore this kind of model.
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