scholarly journals Conditions for Consistency of Equations of Nonlinear Diffusion in Complex Systems with Thermodynamic Constraints

2021 ◽  
pp. 154-164
Author(s):  
H. P. Sargsyan

The paper proposes relations between the coefficients of nonlinear diffusion in complex systems within the framework of the mechanism approach of Ya. I. Frenkel for matching equations with thermodynamic constraints. Three conditions for limiting the microdescription of a complex system have been identified the fulfillment of which ensures the thermodynamically correct behavior of the equations of nonlinear multicomponent diffusion.

2005 ◽  
Vol 3 (3) ◽  
pp. 335-354 ◽  
Author(s):  
Clarissa Ribeiro Pereira de Almeida ◽  
Anja Pratschke ◽  
Renata La Rocca

This paper draws on current research on complexity and design process in architecture and offers a proposal for how architects might bring complex thought to bear on the understanding of design process as a complex system, to understand architecture as a way of organizing events, and of organizing interaction. Our intention is to explore the hypothesis that the basic characteristics of complex systems – emergence, nonlinearity, self-organization, hologramaticity, and so forth – can function as effective tools for conceptualization that can usefully extend the understanding of the way architects think and act throughout the design process. To illustrate the discussions, we show how architects might bring complex thought inside a transdisciplinary design process by using models such as software engineering diagrams, and three-dimensional modeling network environments such as media to integrate, connect and ‘trans–act’.


Author(s):  
Marisa Faggini ◽  
Bruna Bruno ◽  
Anna Parziale

AbstractFollowing the reverse engineering (RE) approach to analyse an economic complex system is to infer how its underlying mechanism works. The main factors that condition the difficulty of RE are the number of variable components in the system and, most importantly, the interdependence of components on one another and nonlinear dynamics. All those aspects characterize the economic complex systems within which economic agents make their choices. Economic complex systems are adopted in RE science, and they could be used to understand, predict and model the dynamics of the complex systems that enable to define and to control the economic environment. With the RE approach, economic data could be used to peek into the internal workings of the economic complex system, providing information about its underling nonlinear dynamics. The idea of this paper arises from the aim to deepen the comprehension of this approach and to highlight the potential implementation of tools and methodologies based on it to treat economic complex systems. An overview of the literature about the RE is presented, by focusing on the definition and on the state of the art of the research, and then we consider two potential tools that could translate the methodological issues of RE by evidencing advantages and disadvantages for economic analysis: the recurrence analysis and the agent-based model (ABM).


MENDEL ◽  
2017 ◽  
Vol 23 (1) ◽  
pp. 163-170 ◽  
Author(s):  
Jiri Bila ◽  
Martin Novak

The paper introduces complete description of the detection method that uses structural invariant Matroid and its Bases (MB, M). There are recapitulated essential concepts from the used knowledge field as “complex system, emergent situations (A, B, C)”, Ramsey theorem and principal computation variables “power” and “complexity” of emergence phenomenon. The method is explained in details and the demonstration of its application is done by the detection of emergent situation – violation of Short Water Cycle in an ecosystem.


2021 ◽  
Author(s):  
Stuart Fowler ◽  
Keith Joiner ◽  
Elena Sitnikova

<div>Cyber-worthiness as it is termed in Australian Defence, or cyber-maturity more broadly, is a necessary feature of modern complex systems which are required to operate in a hostile cyber environment. To evaluate the cyber-worthiness of complex systems, an assessment methodology is required to examine a complex system’s or system-of-system’s vulnerability to and risk of cyber-attacks that can compromise such systems. This assessment methodology should address the cyber-attack surface and threat kill chains, including supply chains and supporting infrastructure. A cyber-worthiness capability assessment methodology has been developed based on model-based systems engineering concepts to analyse the cyber-worthiness of complex systems and present a risk assessment of various cyber threats to the complex system. This methodology incorporates modelling and simulation methods that provide organisations greater visibility and consistency across diverse systems, especially to drive cybersecurity controls, investment and operational decisions involving aggregated systems. In this paper, the developed methodology will be presented in detail and hypothesised outcomes will be discussed.</div>


2020 ◽  
pp. 575-599
Author(s):  
Vladimír Bureš

Systems engineering focuses on design, development, and implementation of complex systems. Not only does the Industry 4.0 concept consist of various technical components that need to be properly set and interconnected, but it is also tied to various managerial aspects. Thus, systems engineering approach can be used for its successful deployment. Overemphasis of technological aspects of Industry 4.0 represents the main starting point of this chapter. Then, collocation analysis, word clusters identification, selection and exemplification of selected domain in the business management realm, and frequency analysis are used in order to develop a holistic framework of Industry 4.0. This framework comprises six levels – physical, activity, outcome, content, triggers, and context. Moreover, the information and control level is integrated. The new holistic framework helps to consider Industry 4.0 from the complex systems engineering perspective – design and deployment of a complex system with required parameters and functionality.


Author(s):  
Terry Bossomaier

In this chapter we present a view of cellular automata (CAs) as the quintessential complex system and how they can be used for complex systems modelling. First we consider theoretical issues of the complexity of their behaviour, discussing the Wolfram Classification, the Langton, lambda parameter and the edge of chaos. Then we consider the input entropy as a way of quantifying complex rules. Finally we contrast explicit CA modelling of geophysical systems with heuristic particle based methods for the visualisation of lava flows.


2020 ◽  
pp. 42-50
Author(s):  
Helmut Satz

Complex systems and critical behavior in complex system are defined in terms of correlation between constituents in the medium, subject to screening by intermediate constituents. At a critical point, the correlation length diverges—as a result, one finds the scale-free behavior also observed for bird flocks. This behavior is therefore possibly a form of self-organized criticality.


Author(s):  
James A. Anderson

An important tool for understanding new and complex systems is analogy. Analogies to brain function are often the most complex systems of the time. In the 17th century, complex hydraulic systems were common. Descartes proposed a detailed model of the brain based on a hydraulic system. In the 19th and 20th centuries, the telephone and telegraph systems were used as brain analogies. This analogy is useful for understanding system connectivity constraints and the practical need for a central exchange (“brain”) for switching and memory. An extreme version of the central exchange analogy was called behaviorism or S-R psychology, popular in the first half of the 20th century. Obvious problems with analogy are its basic untruth and a tendency for a complex system to be thought of as magic if its technological roots are lost.


Homeopathy ◽  
2019 ◽  
Vol 109 (02) ◽  
pp. 051-064 ◽  
Author(s):  
Iris R. Bell

Abstract Background Evidence indicates that homeopathic medicines are complex self-organizing nano-scale systems that generate unique low-intensity electromagnetic signals and/or quantum coherence domains. In Part 1, we reviewed relevant concepts from complex adaptive systems science on living systems for the nature of homeopathic healing. Aim In Part 2, we discuss the complex-system nature of homeopathic medicines. The aim is to relate the evidence on the nature and properties of homeopathic medicines to the complex systems model for homeopathic healing. Methods and Results The work is a narrative review, with complexity model development for the nature of homeopathic medicines. Studies suggest that homeopathic manufacturing generates nano-structures of source material, silica and silicon quantum dots if succussed in glassware or including botanical source materials; or carbon quantum dots if succussed in plastic or including any organic source materials, as well as solute-induced water nano-structures carrying medicine-specific information. On contact with physiological fluids (e.g., blood plasma), there is evidence that nano-structures additionally adsorb individualized patterns of the recipient's own proteins on to their surfaces to create a unique protein corona coat (shell). Thus, the simillimum may generate a personalized biological identity upon administration. Consequently, a medicine can serve as an individually salient, self-similar information carrier, whose protein corona constituent pattern reflects the individual's current internal state of health/disease. Homeopathic medicine complexity emerges from interactions of the component parts from source, silica from glassware or carbon from plastic containers, solvents (lactose, water, ethanol), adsorbed biomolecule layers from plant or animal sources, and adsorbed biomolecules of the recipient. Low doses of these complex medicines can act as biological signaling agents to initiate hormesis via a network-wide pattern of adaptive responses by the recipient complex adaptive system, rather than as conventional pharmaceutical drugs. Biological mediators of adaptive responses include inter-connected network elements of the cell danger/damage defense system: for example, gene expression, reactive oxygen species, heat shock proteins, cytokines, macrophages, T-cells, and associated brain–immune system mediator pathways. Conclusions Every homeopathic medicine is a complex nano-scale system involving multiple inter-connected, interacting components, and emergent properties. Simillimum individualization derives from formation of a unique personalized protein corona shell adsorbed to the reactive surface of the homeopathic nano-structures on contact with the recipient's body fluids. Low doses of such complex nano-structures initiate the adaptive processes of hormesis to mobilize endogenous healing of a disease state. The capacity for self-organization and self-similarity in complex systems is the key to future research on the nature of homeopathic medicines and systemic healing during individualized homeopathic treatment.


2010 ◽  
Vol 32 (1) ◽  
Author(s):  
Rafaela Hillerbrand

AbstractThis paper aims to show that modeling complex systems inevitably involves non-propositional knowledge and thus the uncertainties associated with the corresponding model predictions cannot be fully quantified. This is exemplified by means of the climate system and climate modeling. The climate system is considered as a paradigm for a complex system, whereby the notion of complexity adopted in this paper is epistemic in nature and does not equate with the technical definition of a complex system as for example used within physics or complexity theory. The epistemic notion of complexity allows to view the climate system as complex with respect to some features, while simple with respect to others. This distinction is of practical significance for political decision making as it allows to treat some climate predictions as (fairly) certain, while acknowledging high uncertainties with others.


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