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Wednesday, February 12, 2020 | History

2 edition of theory of self-organizing systems in physics, biology and psychology. found in the catalog.

theory of self-organizing systems in physics, biology and psychology.

Sisto Firrao

theory of self-organizing systems in physics, biology and psychology.

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Published by CENS in Milano .
Written in English


ID Numbers
Open LibraryOL14503214M

In — these complex self-organizing effects were explained by Boris Kerner 's three-phase traffic theory. An XOR gate, in contrast, is not since the state can always change by varying another input. D may only affect E. Yet there are often alternative arrangements that require the same energy. Tell-tale signs of self-organization are usually statistical properties shared with self-organizing physical systems.

Reaching equilibrium means death and consequent decay. One of the earliest statements of this idea was by the philosopher Descartesin the fifth part of his Discourse on Methodwhere he presents it hypothetically. What interconnections are necessary? This theory has shed light on many obscure phenomena in physics and biology and has also led to important general conclusions of which I will mention only two. The result may be a single smooth hill a correlated landscapemany smaller peaks a rugged landscape or something in between. Piatelli-Palmarini eds.

Descartes further elaborated on the idea at great length in a book called Le Monde that was never published. I in and vol. A dominant consideration is that of recursiveness, or self-reference of political action both with regards to the expression of political consciousness and with the ways in which systems build upon themselves". This self- similarity or scale independant fractal behaviour is typical of self-organising systems. The function depends upon the arrangement of the parts and will change in some way if parts are added, removed or rearranged. There is, however, another and even more important aspect of general system theory.


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Theory of self-organizing systems in physics, biology and psychology. book

If true, it would force a radical revision of our understanding of genetics, evolution, memory, learning. System isomorphisms also appear in problems which are recalcitrant to quantitative analysis but are nevertheless of great intrinsic interest.

The smallest parts of a system produce their own emergent properties, these are the lowest system features and form the next level of structure in the system. This book presents a spectrum of those theoretical advances.

Systems theory

There is the suspicion that the recent increase in schizophrenia may be caused by the 'other-directedness' of man in modern society.

The parts can have any structure or form and yet the loop persists. Aims of a General System Theory While in the past, science tried to explain observable phenomena by reducing them to an interplay of elementary units investigable independently of each other, conceptions appear in contemporary science that are concerned with what is somewhat vaguely termed 'wholeness', i.

Generally, higher level properties are regarded as emergent - a car is an emergent property of the interconnected parts. For Luhmann the elements of a social system are self-producing communications, i. The system concept tries to bring the psychophysiological organism as a whole into the focus of the scientific endeavour.

For our collective systems, we can regard the solid state as equivalent to the predictable behaviour of a formula, the gaseous state as corresponding to the statistical realm and the liquid state as being the bifurcation or fractal realm. These include cellular automata Game of Lifeneural networks artificial learninggenetic algorithms evolutionartificial life agent behaviourfractals mathematical art and physics spin glasses.

However, they pop up everywhere in the biological, behavioural and social sciences, and are, in fact, indispensable for dealing with living organisms or social groups. A move from a large region of state space to a persistent smaller one, under the control of the system itself. No, selection is a choice between competing options such that one arrangement is preferred over another with reference to some external criteria - this represents a choice between two stable systems in state space.

According to the second principle of thermodynamics, the general trend of events in physical nature is towards states of maximum disorder and levelling down of differences, with the so-called heat death of the universe as the final outlook, when all energy is degraded into evenly distributed heat of low temperature, and the world process comes to a stop.

Cybernetics

He provides a background of systemic thinking from an historical context, as well as detailed studies of developments in sociological, cognitive and evolutionary theory. Only in view of these aspects will system laws apply.

It makes explicit the relations between structure and process in the realms of knowledge and being. State space is frequently called phase space, the two terms are interchangeable. What is a power law? In self-organisation there is only one system which internally restricts the area of state space it occupies.

World War II - a period of extreme physiological and psychological stress - did not produce an increase in neurotic or psychotic disorders, apart from direct shock effects such as combat neuroses.

It should also be noted that, the farther a phenomenon is removed from physics, the more controversial the idea of self-organization as understood by physicists becomes.

Piatelli-Palmarini eds. The organisation can evolve either in time or space, can maintain a stable form or can show transient phenomena.

Edit The idea that the dynamics of a system can tend by themselves to increase the inherent order of a system has a long history. What is emergence? The influential contemporary work of Peter Senge [9] provides detailed discussion of the commonplace critique of educational systems grounded in conventional assumptions about learning, including the problems with fragmented knowledge and lack of holistic learning from the "machine-age thinking" that became a "model of school separated from daily life.

Google Scholar von Foerster, H. Proposition of a computed state or process in the system specified by the hypothesis as a predicted phenomenon to be observed. D may only affect E. Of course, Blumenfeld does not answer the further question of how those program-like structures emerge in the first place.Overview Edit.

Cellular automaton here running Stephen Wolfram's "rule 30", a mathematical construct displaying self-organization. The most robust and unambiguous examples of self-organizing systems are from physics, where the concept was first sylvaindez.com-organization is also relevant in chemistry, where it has often been taken as being synonymous with self-assembly.

Evolutionary Psychology/Sociobiology Folk Biology Self-Organizing Systems Linguistics/Language. Morphology paleontology, developmental and population genetics, cancer research, physics, and theoretical biology, this book explores the multiple factors responsible for the origination of biological form.

Origination of Organismal Form: The. ern psychology, from its inception, has been informed by ideas imported from related fields of inquiry” (Moore,p. ). Structuralism, for example, had seeds of the atomic theory of matter and biology, and func-tionalism (and Freud’s,psychoanalysis) drew from Darwinian evolu - tion.

Since the 's, systemic thinking has taken great strides in the areas of mathematics, physics, biology, psychology, and sociology.

This book presents a spectrum of those theoretical advances. It synthesizes what various strains of contemporary systems science have to say about social processes and assesses the quality of the resulting.

Get this from a library! The theory of self-organizing systems in physics, biology and psychology. [Sisto Firrao]. The most popular science book related to the subject, simple but a good start. Goldstein, Jacobi & Yovits (Eds.), Self-Organizing Systems ( Spartan) John Holland, Adaption in Natural and Artificial Systems: An Introductory Analysis with applications to Biology, Control & AI ( MIT Press).