...Andersen Niels Åkerstrøm; Justine Grønbæk Pors Purpose This article explores how the Danish public sector, over time, has followed different temporal strategies in order to extend the present and handle the system's increasing complexity, thereby counteracting a tendency towards entropy...

... of complexity with the performance measures. Quantification of the complexity will help the practitioners to take strategic actions. Design/methodology/approach – System dynamics simulation has been used to model the retail supply chain with and without information sharing and data visibility. Entropy...

... a Cartesian mapping of content, with Shannon Entropy and Kolmogorov Complexity as the two vectors, thus constructing a histogram that is useful for the analysis of content of all sorts. Humanity seems to value/find useful, a certain sector of this histogram. The reason for this appears to supervene...

... chains and denoted as I_Σ, is a real number I_Σ ∈[0,1] so that I_Σ=∑_I=1ω(I_{℘)i/ω © Emerald Group Publishing Limited 2013 Energy Entropy Alysidal algebra Heat}...

... why they must forever be connected i.e. space‐time. This idea is discussed in relation to Zeno's paradox, which suggests that space and time are indeed quantized. Events, instants and entropy are defined. Reality can be understood in terms of the speed of the processing of instants. The arrow of time...

...K. Karamanos; I. Kotsireas In this work we perform a detailed entropy analysis of some substitutive sequences using the technique of lumping. The basic novelty of the entropy analysis by lumping is that, unlike the Fourier transform or the conventional entropy analysis by gliding, it gives results...

...Doru Tsaganea In this article the mathematical formula of entropy is used to evaluate the degree of anarchy specific to multipolar, bipolar, and balance of power international political systems. Several entropic properties characteristic to these systems are deduced, and it is proved that alliances...

...‐neuronic connections or of the intervention of the molecules of a defined hormone. Therefore, driven by stimulation, the subsystem falls in a state of reduced entropy, which obviously is not its most probable state (Figure 2). So, in order to re‐establish a high value of entropy, another nervous subsystem...

...Robert Vallée We consider a dynamical linear differential (or recurrent) system whose initial state is given only by a probability density. The Shannon information entropy, associated with the probability density, is considered as a global uncertainty index giving a measure of the uncertainty about...

...Rallis C. Papademetriou This paper presents an overview of three information‐theoretic methods, which have been used extensively in many areas such as signal/image processing, pattern recognition and statistical inference. These are: the maximum entropy (ME), minimum cross‐entropy (MCE) and mutual...

... the accomplishment of the other function. Communications Cybernetics Entropy Information Theory Among cyberneticans, information theory has long been considered a subdivision of their area. It has, however, had a solid reputation to be both extremely abstract and highly mathematical among students...

... that in this case the EMF would become negative (EMF < 0). This means that the entropomotor force is thus mostly to be led from outside the system and needs to be helped by the compensatory entropy coming from the outside too. Consequently, on the one hand, all living nature must take ‐ for itself...

...Esteban; D. Morales Uses a unified expression, called H_h,v^φ1^φ2 entropy to study the asymptotic properties of entropy estimates. Shows that the asymptotic distribution of entropy estimates, in a stratified random sampling set‐up, is normal...

...M.L. Menéndez; L. Pardo; D. Morales; M. Salicrú Presents (h, ø)‐entropies as a generalization of ø‐entropies. Studies some applications of this function in Bayesian inference, especially in the comparison of experiments. Also studies the relationship of the (h,ø)‐entropy criterion...

... as subject to certain constraints. The principle of maximum uncertainty, a fuzzy analogue of maximum entropy, would then serve as a basis for resolving the ambiguity of missing values and thus for deciding the precise nature of control rules. It is shown that the uncertainty principle follows from certain...

...Guy Jumarie Organizing systems should have a decreasing informational entropy, and a meaningful modelling of this property is provided by the approach via the maximum entropy principle, in which the value of the entropy so achieved decreases as the number of constraints increases. As a result, self...

... and its environment. Investigates the system boundary. Derives the entropy balance equation of the shell and deduces the criterion of the exchange ratio entropy which carries material out through the shell of the system from the second law of thermodynamics of the system. Also derives a dynamic equation...

...Rodney C. Bassanezi; Heriberto E. Román‐Flores The entropy as a measure of diversity has been used by ecologists to characterize a community by its stability process. After the introduction of the concept of a fuzzy subset by Zadeh (1965), many definitions of entropies were given emphasizing...

...J.A. Pardo; M.L. Vicente Consideration is given to the problem of optimally choosing of a fixed number of experiments in sequential form from a class of available experiments. The applications of ø entropy measure in the sequential design of experiments is studied by defining ø terminal entropy...

...Colette Padet Gives an analysis of the consequences of the limitations inherent in observation processes PA and PB on the joint, marginal and conditional entropies of two discrete sets of events A and B, observed by means of PA and PB. Up to now, unlike the continuous case studied in a previous...