We re-examine the Systemic Cycles of Accumulation (SCA) of Arrighi (2010) and Arrighi and Silver (1999) which provide a framework for the analysis of the cyclical patterns of geographical expansion of trade and production and the related shifts of hegemonic power within the world capitalist...

It takes time to produce commodities, and different production technologies may take different lengths of time. Suppose that firms may switch between different production technologies that take different lengths of time. A natural implication of such a scenario is that not all firms would then...

A.A. Walters developed a traffic theory that is still adopted by many countries to solve congestion. To justify his theory, he claimed that it reflects the supply and demand of traffic. This paper shows that his supply-demand model is unstable and disastrous

Complex systems derive sophisticated behavioural dynamics by connecting individual component dynamics via a complex network. The resilience of complex systems is a critical ability to regain desirable behaviour after perturbations. In the past years our understanding of large-scale networked...

In this study, I apply a bibliometric analysis paired with a subsequent snowball sampling procedure. Moreover, I display a full citation network analysis, outlining the most relevant publications and contributions, defining relevant measures and show the interconnectivities and gaps within the...

Random telegraph noise (RTN) owns its very name to its assumed stochastic nature. In this paper, we follow up previous works that questioned this stochastic nature, and we investigate this assumption using experimentally measured noise coming from properly biased Ni/HfO 2 unipolar Resistive RAM...

The localization of energy on chaotic discrete breathers (DBs) arising in a two-dimensional triangular lattice due to the modulation instability of delocalized nonlinear vibrational modes (DNVMs) is analyzed. Three DNVMs with frequencies above the phonon band and demonstrating hard-type...

We consider two stable heteroclinic cycles rotating in opposite directions, coupled via diffusive terms. A complete synchronization in this system is impossible, and numerical exploration shows that chaos is abundantat low levelsof coupling. With increase of coupling strength, several...

Fractional-order chaotic power system parameter estimation is a multidimensional function optimization problem, and it is a prerequisite for controlling such systems. Aiming at the problem that the parameter estimation of a fractional-order chaotic power system is easily affected by external...

In this paper, a novel robust controller technique is derived for the network synchronization of chaotic systems with time-varying delay. The stabilization of the complex chaotic systems is achieved by considering an appropriate Krasovskii-Lyapunov functional in order to find the asynchronous...

This paper proposes a color picture encryption algorithm with pixel restructuring and quick diffusion to coexist the security and operational efficiency of the image encryption system. The algorithm employs a four-dimensional hyperchaotic system to decompose the pixels of a color image's three...

AbstractSoil moisture (SM) of maize has an extremely important impact on the growth and development of maize. Therefore, predicting the SM of maize will become extremely important, guiding the management of agricultural irrigation and water resources. This paper, therefore, proposes a new hybrid...

Polynomial chaos expansions (PCEs) have been used in many real-world engineering applications to quantify how the uncertainty of an output is propagated from inputs. PCEs for models with independent inputs have been extensively explored in the literature. Recently, different approaches have been...

Changes in load and distributed generation in low voltage distribution systems (LVDS) have made the individual consumer offtake highly uncertain for the system operator. In order to accurately determine hosting capacity of such systems, congestion related stochastic indices, e.g. probability of...

Chronoamperometry (CA), phase space reconstruction, correlation dimension, multifractal detrended fluctuation analysis (MFDFA) combining linear sweep voltammetry (LSV), electrochemical impedance spectroscopy (EIS), and surface morphology observation were used to systematically analyze the...

We develop a cobweb model in which firms, facing a two-period production delay, have access to a flexible (costly) and an inflexible (cheap) production technology. Moreover, firms select between production technologies depending on theirevolutionary fitness, measured in terms of past realized...

The prices of 27 internationally traded commodities are decomposed into transitory and permanent shocks by applying an ideal band-pass filter to monthly data from 1970-2020. The two types of shocks contributed roughly equally to price variations, but with wide heterogeneity. Permanent shocks...

Based on the seminal asset-pricing model by Brock and Hommes (1998), we analytically show that higher wealth taxes increase the risky asset’s fundamental value, enlarge its local stability domain, may prevent the birth of nonfundamental steady states and, if they exist, reduce the risky...

Unlike linear ones, nonlinear business cycle models can generate sustained fluctuations even in the absence of shocks (e.g., via limit cycles/chaos). A popular approach to solving nonlinear models is perturbation methods. I show that, as typically implemented, these methods are incapable of...

This research explores five barriers, acting as obstacles to chaos in terms of policy (A), economic (B), social (C), demographic effects (D) and natural effects (E) factors for six countries: Russia, Japan, USA, Romania, Brazil and Australia and proposes a mathematical modelling using an...

In this paper, we look for the relevance of chaos in the well-known Hicks-Samuelson's oscillator model investigating the endogenous fluctuations of the national income between two limits: full employment income and under-employment income. We compute the Lyapunov exponent, via Monte-Carlo...

Business organisations are excellent representations of what in physics and mathematics are designated "chaotic" systems. Because a culture of innovation will be vital for organisational survival in the 21st century, the present paper proposes that viewing organisations in terms of "complexity...

This paper evaluates how much chaos is generating COVID-19 globally. We try to present a new indicator is called “The Levels of Uncertainty by the COVID-19 index (TLOUC-Index)”. The main objective of TLOUC-Index is to evaluate how much health, economic, and social uncertainty can COVID-19...

This paper examines the consequences of initial periods of churning,' floundering about,' or mobility' in the labor market to help assess whether faster transitions to stable employment relationships--such as those envisioned by advocates of school-to-work programs--would be likely to lead to...

In this paper we develop a model of the exchange rate. The existence of transactions costs introduces an important non-linearity. Agents have different beliefs about the future exchange rate. We show that this simple model creates great complexity in the market which is characterised by the fact...

We analyse the workings of a simple non-linear exchange rate model in which agents hold different beliefs about the underlying model. We distinguish between "chartists" and "fundamentalists". The non-linearities in the model originate from transactions costs and from the existence of non-linear...

We analyse the implications of unions (efficient bargaining) for multiplicity of stationary states and welfare, local indeterminacy, bifurcations and endogenous fluctuations (deterministic and stochastic). We use an overlapping generations model with external increasing returns to scale, where...

We incorporate a renewable resource into an overlapping generations model with standard, well-behaved utility and constant returns to scale production functions. Besides being a factor of production the resource serves as a store of value. We characterize dynamics, efficiency and stability of...

Business cycles are oscillations in economy because of recessions and expansions. In this paper we investigate the oscillation of the Gross Domestic Product (GDP) as a result of its relations with the other main macroeconomic variables such as capital, consumption and investment. There is a...

In this study, we present a combinatory chaos analysis of daily wavelet-filtered (denoised) S&P 500 returns (2000–2020) compared with respective surrogate datasets, Brownian motion returns and a Lorenz system realisation. We show that the dynamics of the S&P 500 return series consist of an...

This Article considers the intersection of the piracy paradox in the context of the attention economy, the algorithmic behavior of content platforms, and intellectual property’s incentive theory. This inquiry is framed by a micro-history of a micro-dispute between two micro-celebrities about a...

We develop a simple model of the foreign exchange market in which agents optimize their portfolio and use different forecasting rules. They check the profitability of these rules ex post and select the more profitable one. This model produces two kinds of equilibria, a fundamental and a bubble...

Hintergründe und Historie -- Theorie und Empirie - Neuere Entwicklungen in der Komplexitätsforschung -- Multiperspektive - Entrepreneurship und Komplexität -- Konklusion - Über die Notwendigkeit komplexitätswissenschaftlicher Betrachtungsweisen im Bereich des Entrepreneurship.

Polynomial chaos expansion (PCE) provides a method that enables the user to represent a quantity of interest (QoI) of a model’s solution as a series expansion of uncertain model inputs, usually its parameters. Among the QoIs are the policy function, the second moments of observables, or the...

Recent empirical studies in Equity markets show evidence that, while asset log-returns are largely uncorrelated, it is possible to predict with some accuracy their future sign. Such prediction is made over a given forecast horizon based solely on the observed sign of the cumulative log-return...