IV. Ecosmomics: An Independent Source Script of Generative, Self-Similar, Complex Network Systems
Holland, John. Hidden Order. Reading, MA: Addison-Wesley, 1995. An introduction to complex adaptive systems by one of its founders. In the author’s technical terms, many autonomous agents engaged in networks of interaction, immersed in an environment, and guided by tacit rules, will give rise to emergent organization and behavior.
Holovatch, Yurij, et al. Complex Systems: Physics beyond Physics. European Journal of Physics. 38/023002, 2017. (arXiv:1610.01002) Physicists Holovatch, National Academy of Sciences of Ukraine, Ralph Kenna, Coventry University, and Stefan Thurner, Medical University of Vienna, report on how much nonlinear complexity phenomena seems in effect across every social, urban, cultural and economic domain.
Complex systems are characterized by specific time-dependent interactions among their many constituents. As a consequence they often manifest rich, non-trivial and unexpected behavior. Examples arise both in the physical and non-physical world. The study of complex systems forms a new interdisciplinary research area that cuts across physics, biology, ecology, economics, sociology, and the humanities. In this paper we review the essence of complex systems from a physicist's point of view, and try to clarify what makes them conceptually different from systems that are traditionally studied in physics. Our goal is to demonstrate how the dynamics of such systems may be conceptualized in quantitative and predictive terms by extending notions from statistical physics and how they can often be captured in a framework of co-evolving multiplex network structures. We mention three areas of complex-systems science that are currently studied extensively, the science of cities, dynamics of societies, and the representation of texts as evolutionary objects. (Abstract)
Hooker, Cliff, ed. Philosophy of Complex Systems. Amsterdam: Elsevier, 2011. Volume 10 in Elsevier’s Handbook of the Philosophy of Science series. As the table of contents excerpt attests, the 1,000 page tome is a significant recognition of nature’s nonlinear creative energies across the span of material, evolutionary, genomic, biological, cognitive, ecological, social, economic, and artifactual domains. Salient chapters by Moreno, et al, Newman, Snyder, et al, Gao and Herfel, Rickles, are reviewed separately. But the corpus, by 34 men and 3 women, remains by habit unable to realize that not only a novel theoretical approach is found, a profound spontaneous, iterative emergence from cosmos to child is being discovered. We should note, for further example, Adam Sheya and Linda B. Smith’s chapter Dynamics of the Process of Development whence the same fluid patterns that grace galaxies are at work in our early years. And several papers, it ought to be noted, allude in closing that if such an insightful natural knowledge is gained, we are invited to imagine a new future “synthetic” creation.
Part I. General Foundations Introduction to Philosophy of Complex Systems. (Cliff Hooker), Systems and Process Metaphysics (Mark H. Bickhard), Computing and Complexity: Networks, Nature and Virtual Worlds (David G. Green and Tania Leishman), Evolutionary Games and the Modelling of Complex Systems (William Harms) General System Theory (Wolfgang Hofkirchner and Matthias Schafranek),
Ilachinski, Andrew. Cellular Automata. Singapore: World Scientific, 2001. A treatise on the computer based physics and mathematics of nonlinear systems. By this approach, a discrete, information-rich universe is revealed in a process of organizing and discovering itself by way of the same generative dynamics everywhere. Theoretical support is then achieved for a radically creative, increasingly personified reality. Ilachinski, a Russian-American systems scientist, comes to a quite different reading by way of these theories than does Stephen Wolfram.
Cellular automata (CA) are fundamentally the simplest mathematical representations of a much broader class of complex systems (where, for the moment, ‘complex system’ means any dynamical system that consists of more than a few - typically nonlinearly - interacting parts). As such, CA have proven to be extremely useful idealization of the dynamical behavior of many real complex systems…. (1)
Jasny, Barbara, et al. Connections. Science. 325/405, 2009. An introduction to a special update section on the state of “Complex Systems and Networks” theory. Papers include a review of “socioeconomic physics,” nature’s “tangled bank” mathematically revealed, technological dynamics, and a 10 year retrospective by Albert-Laszlo Barabisi how scale-free networks are now being found everywhere.
For decades, we tacitly assumed that the components of such complex systems as the cell, the society, or the internet are randomly wired together. In the past decade, an avalanche of research has shown that many real networks, independent of their age, function, and scope, converge to similar architectures, a universality that allowed researchers from different disciplines to embrace network theory as a common paradigm. (Barabasi, 412)
Jensen, Henrik. Tangled Nature: A Model of Emergent Structure and Temporal Mode Among Co-Evolving Agents. arXiv:1807.04228. In an invited contribution for a European Journal of Physics Focus on Complexity section, the Imperial College London biomathematician reviews this effective approach. Its initial posting was Tangled Nature: A Model of Evolutionary Ecology in the Journal of Theoretical Biology (216/73, 2002) by Jensen and colleagues, with many papers in between, as cited in its long bibliography. The technical concept is explained, along with recent integrations with complexity and network phenomena. Its wider employ across bacteria, food webs, migrations, species populations, onto to economies, sustainability and Gaian earth systems then follows. See also Tangled Worldview Model of Opinion Dynamics by Jensen's group at 1901.06372.
Understanding systems level behaviour of many interacting agents is challenging in various ways, here we'll focus on the how the interaction between components can lead to hierarchical structures with different types of dynamics, causations or levels. We use the Tangled Nature model to discuss the co-evolutionary aspects connecting the microscopic individual to the macroscopic systems level. At the microscopic level the individual agent may undergo evolutionary changes due to mutations of strategies. The micro-dynamics always run at a constant rate. Nevertheless, the system's level dynamics exhibit an intermittent abrupt dynamics where major upheavals keep throwing the system between meta-stable configurations. We discuss the ecological and macroevolutionary consequences of the adaptive dynamics and briefly describe work using the Tangled Nature framework to analyse problems in economics, sociology, innovation and sustainability. (2018 Abstract)
Johnson, Stephen. Emergence. New York: Scribner, 2001. A computer scientist and writer explains how a spontaneously creative nature employs the same pattern and dynamics of multiple interacting agents at every stage from social insects to neural nets, cities, and computer software.
Kashtan, Padav and Uri Alon. Spontaneous Evolution of Modularity and Network Motifs. Proceedings of the National Academy of Sciences. 102/13773, 2005. Another example of how new understandings of evolution by way of complexity theory can identify a universally emergent structure and dynamics.
Biological networks have an inherent simplicity: they are modular with a design that can be separated into units that perform almost independently. Furthermore, they show reuse of recurring patterns termed network motifs. (13773)
Kauffman, Stuart. Investigations. New York: Oxford University Press, 2000. More conceptual insights into a view of Earth life that creates itself by means of intentional, autonomous agents which continually expand the niche of animate complexity. Kauffman’s frontier thinking offers glimpses of a “fourth law of thermodynamics,” a “general biology” for emergent life, autocatalytic biospheres, and a “coconstructing cosmos.”
Kauffman, Stuart. The Origins of Order: Self-Organization and Selection on Evolution. New York: Oxford University Press, 1993. A breakthrough work that reports on biologist and physician Kauffman’s decades of research studies on a deep theoretical basis for the innate self-organization of complex living systems which is in creative effect prior to the winnowing action of natural selection. (Also see Kauffman’s At Home in the Universe in Part III,An Organic Universe.)
Kelso, Scott and David Engstrom. The Complementary Nature. Cambridge: MIT Press, 2006. This important work is mainly noted in Current Vistas and by an extensive review in Recent Writings.
Khelifi, Mounir, et al. A Relative Multifractal Analysis. Chaos, Solitons and Fractals. Vol. 140, 2020. University of Monastir, Tunisia mathematicians provide a further finesse of nature’s infinite self-similar formulations. We also cite amongst a wide array of international 2020 papers such as Multifractal Analysis of Embryonic Eye Structures in Mice (Sijilmassi, Ouafa, et al, Universidad Complutense de Madrid, 138), The Origin of Collective Phenomena in Firm Sizes (Ji, Guseon, et al, Graduate School of Future Strategy, KAIST, S. Korea, 136), Using Network Science to Unveil Badminton Performance Patterns (Gomez, Miguel-Angel, et al, Universidad Politécnica de Madrid, 135), A Symbiosis between Cellular Automata and Genetic Algorithms (Cerruti, Umberto, et al, University of Torino, 134), and The Fractal Description Model of Rock Fracture Networks (LiLi, Sui, et al, North China Institute of Science, 129). Our aim is to document in this consummate year how every manifest social, biologic and physical phase is deeply guided by common mathematic sources.
The University of Monastir is a Tunisian multidisciplinary university with its own financial and administrative autonomy located on the Gulf of Hammamet, south of Tunis. It was founded in 2004 following the reform of the university higher education system and is organized in 5 Faculties, 2 graduate schools and 9 institutes.