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    Dynamics and Thermodynamics in Hierarchically Organized Systems: Applications in Physics, Biology and Economics
    Self-Modifying Systems in Biology and Cognitive Science: A New Framework for Dynamics, Information and Complexity
    Anticipatory Systems: Philosophical, Mathematical and Methodological Foundations
    Ebook series3 titles

    IFSR International Series on Systems Science and Engineering

    By Robert Rosen, G. Kampis, P. Auger and George J. Klir

    4/5

    ()

    About this series

    The theme of this book is the self-generation of information by the self-modification of systems. The author explains why biological and cognitive processes exhibit identity changes in the mathematical and logical sense. This concept is the basis of a new organizational principle which utilizes shifts of the internal semantic relations in systems. There are mathematical discussions of various classes of systems (Turing machines, input-output systems, synergetic systems, non-linear dynamics etc), which are contrasted with the author's new principle. The most important implications of this include a new conception on the nature of information and which also provides a new and coherent conceptual view of a wide class of natural systems. This book merits the attention of all philosophers and scientists concerned with the way we create reality in our mathematical representations of the world and the connection those representations have with the way things really are.
    LanguageEnglish
    PublisherElsevier Science
    Release dateOct 22, 2013
    Dynamics and Thermodynamics in Hierarchically Organized Systems: Applications in Physics, Biology and Economics
    Self-Modifying Systems in Biology and Cognitive Science: A New Framework for Dynamics, Information and Complexity
    Anticipatory Systems: Philosophical, Mathematical and Methodological Foundations

    Titles in the series (3)

    • 1

      Anticipatory Systems: Philosophical, Mathematical and Methodological Foundations
      Anticipatory Systems: Philosophical, Mathematical and Methodological Foundations

      Anticipatory Systems: Philosophical, Mathematical and Methodological Foundations

      Robert Rosen
      4/5 - 2 ratings
      4/5 - 2 ratings

      The first detailed study of this most important class of systems which contain internal predictive models of themselves and/or of their environments and whose predictions are utilized for purposes of present control. This book develops the basic concept of a predictive model, and shows how it can be embedded into a system of feedforward control. Includes many examples and stresses analogies between wired-in anticipatory control and processes of learning and adaption, at both individual and social levels. Shows how the basic theory of such systems throws a new light both on analytic problems (understanding what is going on in an organism or a social system) and synthetic ones (developing forecasting methods for making individual or collective decisions).

      The first detailed study of this most important class of systems which contain internal predictive models of themselves and/or of their environments and whose predictions are utilized for purposes of present control. This book develops the basic concept of a predictive model, and shows how it can be embedded into a system of feedforward control. Includes many examples and stresses analogies between wired-in anticipatory control and processes of learning and adaption, at both individual and social levels. Shows how the basic theory of such systems throws a new light both on analytic problems (understanding what is going on in an organism or a social system) and synthetic ones (developing forecasting methods for making individual or collective decisions).

    • 4

      Dynamics and Thermodynamics in Hierarchically Organized Systems: Applications in Physics, Biology and Economics
      Dynamics and Thermodynamics in Hierarchically Organized Systems: Applications in Physics, Biology and Economics

      Dynamics and Thermodynamics in Hierarchically Organized Systems: Applications in Physics, Biology and Economics

      P. Auger
      0 ratings
      0 ratings

      One of the most fundamental and efficient ways of conceptualizing complex systems is to organize them hierarchically. A hierarchically organized system is represented by a network of interconnected subsystems, each of which has its own network of subsystems, and so on, until some elementary subsystems are reached that are not further decomposed. This original and important book proposes a general mathematical theory of a hierarchical system and shows how it can be applied to very different topics such as physics (Hamiltonian systems), biology (coupling the molecular and the cellular levels), ecology (coupling the individual, population and ecosystem), and economics (coupling the sectoral, regional and national levels). The first attempt to develop mathematical frameworks for conceptualizing such systems only appeared in the early 1970s, and it took another decade before these mathematical frameworks were applied to various specific contexts of the sciences of the natural. Much of this work has been pioneered by the author, and he presents a more thorough work which will have a major impact on shifting current thinking in the sciences of the natural to a more holistic basis in which several levels of hierarchically organized systems are viewed in an integrated fashion.

      One of the most fundamental and efficient ways of conceptualizing complex systems is to organize them hierarchically. A hierarchically organized system is represented by a network of interconnected subsystems, each of which has its own network of subsystems, and so on, until some elementary subsystems are reached that are not further decomposed. This original and important book proposes a general mathematical theory of a hierarchical system and shows how it can be applied to very different topics such as physics (Hamiltonian systems), biology (coupling the molecular and the cellular levels), ecology (coupling the individual, population and ecosystem), and economics (coupling the sectoral, regional and national levels). The first attempt to develop mathematical frameworks for conceptualizing such systems only appeared in the early 1970s, and it took another decade before these mathematical frameworks were applied to various specific contexts of the sciences of the natural. Much of this work has been pioneered by the author, and he presents a more thorough work which will have a major impact on shifting current thinking in the sciences of the natural to a more holistic basis in which several levels of hierarchically organized systems are viewed in an integrated fashion.

    • 6

      Self-Modifying Systems in Biology and Cognitive Science: A New Framework for Dynamics, Information and Complexity
      Self-Modifying Systems in Biology and Cognitive Science: A New Framework for Dynamics, Information and Complexity

      Self-Modifying Systems in Biology and Cognitive Science: A New Framework for Dynamics, Information and Complexity

      G. Kampis
      5/5 - 1 rating
      5/5 - 1 rating

      The theme of this book is the self-generation of information by the self-modification of systems. The author explains why biological and cognitive processes exhibit identity changes in the mathematical and logical sense. This concept is the basis of a new organizational principle which utilizes shifts of the internal semantic relations in systems. There are mathematical discussions of various classes of systems (Turing machines, input-output systems, synergetic systems, non-linear dynamics etc), which are contrasted with the author's new principle. The most important implications of this include a new conception on the nature of information and which also provides a new and coherent conceptual view of a wide class of natural systems. This book merits the attention of all philosophers and scientists concerned with the way we create reality in our mathematical representations of the world and the connection those representations have with the way things really are.

      The theme of this book is the self-generation of information by the self-modification of systems. The author explains why biological and cognitive processes exhibit identity changes in the mathematical and logical sense. This concept is the basis of a new organizational principle which utilizes shifts of the internal semantic relations in systems. There are mathematical discussions of various classes of systems (Turing machines, input-output systems, synergetic systems, non-linear dynamics etc), which are contrasted with the author's new principle. The most important implications of this include a new conception on the nature of information and which also provides a new and coherent conceptual view of a wide class of natural systems. This book merits the attention of all philosophers and scientists concerned with the way we create reality in our mathematical representations of the world and the connection those representations have with the way things really are.

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