BCSSS

International Encyclopedia of Systems and Cybernetics

2nd Edition, as published by Charles François 2004 Presented by the Bertalanffy Center for the Study of Systems Science Vienna for public access.

About

The International Encyclopedia of Systems and Cybernetics was first edited and published by the system scientist Charles François in 1997. The online version that is provided here was based on the 2nd edition in 2004. It was uploaded and gifted to the center by ASC president Michael Lissack in 2019; the BCSSS purchased the rights for the re-publication of this volume in 200?. In 2018, the original editor expressed his wish to pass on the stewardship over the maintenance and further development of the encyclopedia to the Bertalanffy Center. In the future, the BCSSS seeks to further develop the encyclopedia by open collaboration within the systems sciences. Until the center has found and been able to implement an adequate technical solution for this, the static website is made accessible for the benefit of public scholarship and education.

A B C D E F G H I J K L M N O P Q R S T U V W Y Z

ERGODIC RELATION 2)

The character of the behavior of a system whose average transit between successive states in time statistically equates the probabilities of the different possible states.

L. BRILLOUIN enounced the ergodic hypothesis, already introduced by BOLTZMANN, in the following way:" The average of some relation, measured through a period of time, must be equal to the average of the same relation, taken on the surface of constant energy".

According to BRILLOUIN, the idea was "to follow some determined trajectory and to show that it progressively covers the surface of constant energy, in the way that a wire covers a coil or a thread the surface of a ball".

However there are some difficulties, thus stated by BRILLOUIN: "Some peculiar trajectories are periodic, close on themselves and do not cover the surface in a uniform way. Others reach bifurcation points where different probabilities must be introduced for different branches" (1959, p.189).

The mentally unconfortable mix of determinism and randomness appears clearly in the former comment. The same problem is reflected in other comments by W.R. ASHBY about "equilibrium in a MARKOV chain" (1956, nr.9/6) where it can be seen that, within a population, the distribution of differently characterized sub-groups tends at any moment to be equal to the mean behavior through time of these groups. Such systems are neither perfectly deterministic, nor perfectly random: individual randomness is limited by the characteristics of the individuals, which define the limits of their autonomous and collective randomness in relation to the specific environmental conditions and to the global mix of the different types of autonomous individuals.

These intricated situations seems to be related to:

1. the general theory of deterministic chaos: the ergodic relation holds only so far as the system maintains itself within the limits of its attractor.

2. the concept of organizational closure as it might be applied to populations (in a very general sense).

3. and possibly the concept of self-criticality in composite systems.

These systems seem to possess a kind of collective, but blurred memory of their initial conditions, which become mixed up with time, but are never totally erased.

The POINCARÉ section seems to have been the first specific ergodic relation, characteristic of nearly chaotic systems, being also useful for the study of periodic trajectories.

Categories

  • 1) General information
  • 2) Methodology or model
  • 3) Epistemology, ontology and semantics
  • 4) Human sciences
  • 5) Discipline oriented

Publisher

Bertalanffy Center for the Study of Systems Science(2020).

To cite this page, please use the following information:

Bertalanffy Center for the Study of Systems Science (2020). Title of the entry. In Charles François (Ed.), International Encyclopedia of Systems and Cybernetics (2). Retrieved from www.systemspedia.org/[full/url]


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