Catastrophic chaos theory: Predicting recovery of health or death

Ken Naitoh, Hirofumi Inoue

    Research output: Contribution to journalArticle

    Abstract

    Recently, we revealed a standard pattern of a macroscopic molecular network for controlling morphogenetic processes such as the development of organs, including blast, mesoderm, heart, and hands during about sevenfold cell divisions and a standard bio-chemical clock like the circadian one (Naitoh in Artif Life Robot 13, 2008; Japan J Ind Appl Math 28(1), 2011; J Phys Conf Ser 344, 2012; Artif Life Robot 17, 2012) A network model derived logically based on experimental observations is described by a nonlinear differential equation for predicting time evolutions of six macroscopic molecular groups: three gene groups and three enzyme groups, which include promoting and suppressing factors. Here, the macroscopic model extended for also describing aging processes shows various types of cycles and reveals the physical condition for determining whether or not living beings such as humans can survive after getting ill. It is stressed that, after becoming ill, living systems with overly fast generation of information molecules such as various genes end in death, whereas relatively fast production of enzymes leads to recovery. This may also explain an essential feature underlying carcinogenic processes.

    Original languageEnglish
    Pages (from-to)127-132
    Number of pages6
    JournalArtificial Life and Robotics
    Volume18
    Issue number1-2
    DOIs
    Publication statusPublished - 2013

    Fingerprint

    Nonlinear Dynamics
    Chaos theory
    Enzymes
    Genes
    Health
    Robots
    Recovery
    Circadian Clocks
    Mesoderm
    Cell Division
    Clocks
    Japan
    Differential equations
    Hand
    Aging of materials
    Cells
    Molecules

    Keywords

    • Catastrophe
    • Chaos
    • Death
    • Health

    ASJC Scopus subject areas

    • Artificial Intelligence
    • Biochemistry, Genetics and Molecular Biology(all)

    Cite this

    Catastrophic chaos theory : Predicting recovery of health or death. / Naitoh, Ken; Inoue, Hirofumi.

    In: Artificial Life and Robotics, Vol. 18, No. 1-2, 2013, p. 127-132.

    Research output: Contribution to journalArticle

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