Bios, a process approach to living system theory. In honour of James and Jessie Miller

Sabelli, Hector; Carlson-Sabelli, Linnea

doi:10.1002/sres.730

Cited by 11 publications

(4 citation statements)

References 32 publications

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“…The mathematical analysis of economic data presented here, together with previous studies [2,13,[19][20][21], show that economic processes do not tend to equilibrium and display random variation as postulated by standard economics. Instead, they show Bios.…”

Section: Bipolar Feedback In Economic Processessupporting

confidence: 59%

Causal Creation in Social Processes: Empirical Analysis and Theoretical Implications

Sabelli¹

2011

TOCSJ

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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.

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Section: Bipolar Feedback In Economic Processessupporting

confidence: 59%

Causal Creation in Social Processes: Empirical Analysis and Theoretical Implications

Sabelli¹

2011

TOCSJ

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“…As we developed these time series analyses, we examined multiple and diverse time series. We found biotic patterns in some economic data (Sabelli and Abouzeid, 2003; Patel and Sabelli, 2003; Sugerman and Sabelli, 2003; Levy‐Carciente et al , 2004; Sabelli and Carlson‐Sabelli, 2005). Biotic patterns are found at all levels of organization: Quantum physics.…”

Section: Introductionmentioning

confidence: 56%

“… Physiology. Heartbeat series (Carlson‐Sabelli et al , 1994; Sabelli et al , 1995) and other physiological processes (Sabelli and Carlson‐Sabelli, 2005). Biology.…”

Section: Introductionmentioning

confidence: 99%

Economic bios

Sabelli¹,

Kovacevic²

2011

Kybernetes

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PurposeThe 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/approachBios 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.FindingsDynamic 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/valueThe 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.

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“…Many researches discuss about various phases of process equation in the viewpoint of its time series, cobweb plot (graph of equation), recurrence plot, and complement plot [1,2,10,[18][19][20][21][22][23][24][25][26]. another map that is derived from the process equation is a circle map that is of the process equation and cannot show biotic pattern due to the mixing that occurs from the modulus.…”

Section: Introductionmentioning

confidence: 99%

Investigation of Bifurcations in the Process Equation

Nazarimehr

Jafari

Golpayegani

et al. 2017

Int. J. Bifurcation Chaos

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This paper investigates the different behaviors of the process equation and parameters of their occurrences. The process equation is a multistable one dimensional map with nonlinear feedback and can show various behaviors such as period doubling route to chaos, bios, unstable windows and periodic windows. In this note, we focus on different behaviors of the process equation by a deep look at phase portraits and cobweb plots. Therefore, period doubling route to chaos and unifurcations of the equation are investigated, and also the parameter of its entrance to biotic pattern is discussed. The control parameter for the process equation is g (the coupling constant). In higher , the system shows some unstable and periodic windows among the biotic behaviors. Different patterns of these windows and the reasons of their happenings are investigated mathematically. In addition, some other types of unstable and periodic windows are discussed and Q-curves determine the difference of these windows with the previous ones.

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Bios, a process approach to living system theory. In honour of James and Jessie Miller

Cited by 11 publications

References 32 publications

Causal Creation in Social Processes: Empirical Analysis and Theoretical Implications

Causal Creation in Social Processes: Empirical Analysis and Theoretical Implications

Economic bios

Investigation of Bifurcations in the Process Equation

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