Chicago Center for Creative Development

Newton, IL, United States

Chicago Center for Creative Development

Newton, IL, United States
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Sabelli H.,Chicago Center for Creative Development | Lawandow A.,Chicago Center for Creative Development | Kopra A.R.,Chicago Center for Creative Development
Symmetry | Year: 2010

Asymmetry and symmetry coexist in natural and human processes. The vital role of symmetry in art has been well demonstrated. This article highlights the complementary role of asymmetry. Further we show that the interaction of asymmetric action (recursion) and symmetric opposition (sinusoidal waves) are instrumental in generating creative features (relatively low entropy, temporal complexity, novelty (less recurrence in the data than in randomized copies and complex frequency composition). These features define Bios, a pattern found in musical compositions and in poetry, except for recurrence instead of novelty. Bios is a common pattern in many natural and human processes (quantum processes, the expansion of the universe, gravitational waves, cosmic microwave background radiation, DNA, physiological processes, animal and human populations, and economic time series). The reduction in entropy is significant, as it reveals creativity and contradicts the standard claim of unavoidable decay towards disorder. Artistic creations capture fundamental features of the world. © 2010 by the authors.


Sabelli H.,Chicago Center for Creative Development
Open Cybernetics and Systemics Journal | Year: 2011

This article presents empirical evidence for the creativity of social processes, as contrasted to both deterministic and random models of biological and economic phenomena. New methods for the analysis of empirical data indicate that population changes, financial data and other socioeconomic time series display non-periodic, apparently irregular patterns that evolve in time (temporal complexity), increase in diversity (diversification), and repeat less frequently than randomized copies of the data (novelty). Recurrence and autocorrelation measures indicate that these patterns are generated causally, not randomly. These measurements demonstrating causality and creativity in economic, social, and population processes indicate a non-stationary chaotic pattern (Bios) and suggest an alternative to current models that postulate either causal determinism or random change. Causal and creative chaotic patterns (Bios) are also observed in fundamental natural and human processes (quantum processes, cosmological expansion in the distribution of galaxies and quasars, animal populations, and heart and respiratory rates). Mathematical models show that Bios patterns are generated by equations that combine recurring change (recursion), bipolar opposition (e.g. sine functions) and conservation. Consumption and production (demand and supply) are obvious factors accounting for the generation of Bios in economic processes. Generations, sex, nations, races and classes are fundamental oppositions in social processes that may explain the generation of Bios. The extreme sensitivity of Bios to initial conditions' (external inputs) indicates the possibility of modifying the course of social processes, and the need to develop flexible methods rather than planning economic development. To develop such methods, and based on the empirical results here reported, this article articulates a new theory of social organization and change that advances three principles: (1) action (flow of energy in unidirectional time) as the one and only component of both processes and ideas; (2) opposition, both synergic and conflictual, as present in, and organizing, all physical, biological and mental processes; and (3) priority to nature and supremacy to persons as an unavoidable reality and a desirable pattern of action. © Hector Sabelli; Licensee Bentham Open.


Sabelli H.,Chicago Center for Creative Development | Kovacevic L.,Chicago Center for Creative Development
Kybernetes | Year: 2011

Purpose: The purpose of this paper is to examine the possibility of biotic patterns. In economics, markets are thought to tend to equilibrium with random and unpredictable deviations. However, an explosion of empirical work searching for possible chaos show an enormous amount of unexplained nonlinear structure. These observations led the authors to examine the possibility of biotic patterns in economics. Design/methodology/approach: Bios is defined as a causally generated creative process. It is the causal counterpart to random walk, just as chaos is the causal equivalent to randomness. Economic data consisting of time series from several categories, including banking, employment and population, and gross domestic product and components, were studied for diversification, recurrence, and predictability patterns characteristic of bios. Diversification was quantified as increased variance with embedding, recurrences were measured using newly developed computer programs, and predictability was measured with a nonlinear prediction method. Findings: Dynamic analyses of the data show: episodic patterning and asymmetric statistical distribution, typical of bios; increase in variance with embedding (diversification), less recurrence than shuffled copies of the data (novelty), demonstrating creativity; consecutive recurrence; and patterning in the series of differences, indicating non-random causation. Originality/value: The demonstration of bios in empirical data indicates that the economy is non-stationary, causal, and creative. This contradicts the notion that markets regulate themselves and tend to equilibrium, and the characterization of market variation as random or chaotic. Further economic crises may be avoided by acknowledging that financial markets are not bound within limits and can be modified into new forms by human action. © Emerald Group Publishing Limited.


PubMed | Chicago Center for Creative Development
Type: Journal Article | Journal: Nonlinear dynamics, psychology, and life sciences | Year: 2010

HRV has been found useful in the study of cardiological illness in adults and elders, as well as in monitoring prenatal health. Twenty-four hour Holter recordings of R to R intervals (RRI) in healthy newborns, adults, and elderly persons were analyzed with statistical, chaos, and recurrence methods. In persons of all ages, RRI series showed relative stability (as expected in homeostatic regulation), patterned daily changes in heart rate, evidence of causality or determinism (nonrandom pattern of the series of differences), and non-periodic irregular variations within limits, suggesting chaos. In addition, novel methods of analysis reveal creative features that are absent in chaotic attractors but found in bios, a non-stationary process that is generated mathematically by recursions of bipolar feedback (chaotic bios) or by the addition of sine waves. Wavelet and recurrence plots demonstrate time-limited patterns (e.g. clustering of recurrences in organized complexes) that follow each other in time indicating temporal complexity, in contrast to the temporal uniformity of chaotic attractors and of random changes. Recurrence quantification demonstrates less recurrence isometry than copies randomized by shuffling (novelty), and more consecutive isometries than shuffled copies indicating causal order. Statistical analyses demonstrate asymmetric distribution and diversification (increase in variance with the duration of the series analyzed) in contrast to convergence to an attractor. These studies indicate that the normal pattern of HRV is both homeostatic and biotic. A biotic pattern with homeostatic features (homeobios) is generated by combining bipolar feedback with negative feedback. Chaos and bios analyses may thus be useful in clinical studies.


PubMed | Chicago Center for Creative Development
Type: Comparative Study | Journal: Nonlinear dynamics, psychology, and life sciences | Year: 2010

This article presents novel quantitative methods to study R to R interval (RRI) series that identify their characteristic pattern of organization, Bios, and their variation in psychiatric illness. In this study twenty-four hour series of RRI were extracted from Holter recordings of healthy subjects (N = 74) and small groups of patients with affective depression or psychosis. These data were analyzed with recurrence and statistical methods. In all subjects, RRI series showed complexes (clusters of recurrences), such as those observed with mathematically-generated biotic series but not in chaotic or random series. RRI series from healthy persons showed diversification (increase in variance with the duration of the series analyzed), novelty (less recurrence isometry than copies randomized by shuffling), causal order (more consecutive isometry than shuffled copies), and asymmetric statistical distribution. These imprints of creative processes are characteristic of mathematical Bios, and are absent in chaos. Bios can be distinguished from random walk series by the nonrandom pattern of the series of differences between heartbeats, as well as by measures of consecutive isometry and of partial autocorrelation. These defining characteristics of Bios are significant signs of health. In comparison with healthy controls, psychiatric patient groups showed more isometry and more consecutive isometry than healthy subjects. Psychiatric patients also showed no diversification. This study highlights the process that produces heart rate variation as being non-stationary and creative (bios, not equilibrium or chaos) and causal (not stochastically generated by the coexistence of multiple factors). These results thus are significant regarding psychiatric health.

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