VII. WumanKinder: An EarthSphere Transition in Individuality
2. Complex Local to Global Network Biosocieties
Henrickson, L. and B. McKelvey. Foundations of “New” Social Science: Institutional Legitimacy from Philosophy, Complexity Science, Postmodernism, and Agent-Based Modeling. Proceedings of the National Academy of Sciences. 99/7288, 2002. A paper from the “Adaptive Agents, Intelligence, and Emergent Human Organization” colloquium of the National Academy of Sciences, October 2001. If dynamical theories are applied to human societies, they allow their features of many active agents, local interactions, and far-from-equilibrium self-organization to gain theoretical roots in a nonlinear nature. This situation is seen to align with the constructivist mode of postmodern philosophy as it tries to articulate a fluid yet consistent, knowable reality.
Hodgson, Geoffrey and Thorbjorn Knudsen. Darwin’s Conjecture: The Search for General Principles of Social and Economic Evolution. Chicago: University of Chicago Press, 2010. A University of Hertfordshire economist and University of South Denmark management specialist consider, extend and affirm, a century and a half on, Charles’ musings that the biological lineaments he found ought to similarly apply to human societies. In so doing, the authors today complement survival of the fittest with self-organizing dynamics, group selection, levels of replicators and interactors, and notably go on to expand the major transitions scale into cultural realms.
Hughes-Jones, N. Intergroup Aggression: Multi-individual Organisms and the Survival Instinct. Interdisciplinary Science Reviews. 25/2, 2000. The degree to which human groups, whether tribe, clan, or nation, are driven to exclude and exterminate foreigners can only be understood if they are seen as true social organisms which must fight to defend their collective self-identity.
Ingold, Tim. The Trouble with Evolutionary Biology. Anthropology Today. 23/2, 2007. The University of Aberdeen social anthropologist takes issue with the 2006 article by Alex Mesoudi, et al (search within) which seeks a “unified science of cultural evolution.” The problem for TI is not a project to join biology and society, but the employ of an antiquated Darwinism to do so, unaware that evolutionary theory is under radical expansion to include developmental and dynamical system influences.
By all means let us seek a way of embracing human history and culture within a wider concept of evolution: not, however, by reducing history to a reconstructed phylogeny of cultural traits but by releasing the concept of evolution itself from the stranglehold of neo-Darwinian thinking, allowing us to understand the self-organizing and transformational dynamics of fields of relationships among both human and non-human beings. (17)
Jenks, Chris and John Smith. Qualitative Complexity: Ecology, Cognitive Processes and the Re-Emergence of Structures in Post-Humanist Social Theory. London: Routledge, 2006. An impressive work, as its table of contents below attest, bent on reconceiving the field of sociology in terms of dynamic self-organizing social systems. This task is methodically pursued with an emphasis on autopoietic self-structuring, as Niklas Luhmann has earlier done, so as to provide a more appropriate understanding of real cultural phenomena. An academic postmodernism prevails to at once liberate the endeavor from linear modernity and to express an open, malleable fluidity. But this school precludes any imagination that underlying or encompassing the rush of events could be inherent natural commonalities.
Part One: The Interdisciplinary Field. Chapter 1. Complexity Theory: A Positioning Paper. 2. From Descartes’ Conjecture to Kant’s Subject & the Computer. 3. Autopoiesis in Cognitive Biology. 4. Emergentism, Evolutionary Psychology and Culture. 5. Prigogine’s Thermodynamics, Ontology and Sociology. Part Two: Critical Developments. 6. Modernism and Determinism: Linear Expectations and Qualitative Complexity Analyses. 7. Complexity Theory as a Critique of Postmodernism. 8. Cognition and the Renewal of Systems Theory. 9. The Evolution of Intelligence, Consciousness and Language. 10. Complexity, Language and Culture: social systems in qualitative, i.e. not formal terms. Part Three: The Fields of Complex Analysis: Contemporary Complexity Theory. 11. The Ethics of Pragmatism: Politics and post-structuralism in transition after the complexity turn. 12. The Topology of Complexity. 13. Re-interpreting Global Complexity as an Ontology: Human Ecology.
Juarrero, Alicia. Dynamics in Action: Intentional Behavior as a Complex System. Cambridge: MIT Press, 1999. New understandings of human activities are possible by means of the nonlinear sciences.
Kenett, Dror and Juval Portugali. Population Movement under Extreme Events. Proceedings of the National Academy of Sciences. 109/11472, 2012. Boston University and Tel Aviv University systems geographers comment on a technical article in the same issue “Predictability of Population Displacement after the 2010 Haiti Earthquake” by Xin Lu, Linus Bengtsson, and Petter Holme which reports that even in such chaotic disasters can yet be found underlying patterns of mathematical regularity. By way of any philosophical muse then, whatever kind of reality, albeit capable of catastrophes, might collaborative humankind be at last coming upon, quantifying, reading? And if it may dawn that orderly natural principles do indeed exist, could they be availed to recreate a new, livable, sustainable Haiti and world?
The last 30 years have witnessed the emergence of complexity theories of cities (CTC) – a domain of research that applies the various complexity theories to the study of cities. CTC portray cities as complex, self-organizing systemic networks. They suggest that cities have originally emerged and are still developing out the space-time interactions between the many urban agents, this to say, the individuals, families, households, firms, and other entities that act and interact in the city. The activities and interactions between these urban agents give rise to the global urban multilevel network and structure that in turn affects the agent’s cognition, behavior, movement, and action in the city in a circular causality. CTC have demonstrated a whole set of resemblances between cities on the one hand, and natural, material, and organic networks on the other. (11472)
Kenrick, Douglas, et al. Dynamical Evolutionary Psychology. Personality and Social Psychology Review. 6/4, 2002. A paper in a special issue on “The Dynamical Perspective in Personality and Social Psychology” maps out an “interactionist” union of complex systems principles and evolutionary theory.
One of the exciting discoveries emerging from studies of complex systems is a ubiquitous tendency toward self-organization. (347) What an evolutionary analysis adds to the dynamic perspective is a focus on content. By focusing on adaptive content, we should be able to make more specific predictions about which self-organizing structures and patterns will emerge within human minds and across social landscapes. (355)
Kesebir, Selin. The Superorganism Account of Human Sociality. Personality and Social Psychology Review. 16/3, 2012. The Turkish-American, University of Virginia social psychologist describes her thorough doctoral study of how human groupings seem to possess or be moving toward organism-like traits and states. She first reviews prior colony models, and goes on to the major transitions view of emergent evolutionary stages, which are seen akin to superorganisms. Five salient features are then applied to human assemblies: Integration of lower-level units through communication, Shared intentionality and social identity processes, Low heritable variation among the entities, A common destiny, and Mechanisms to resolve conflicts. As the quotes aver, she concludes that some form and temperament like this does appears to be going on. It is worthwhile to compare with Andrew Bourke’s Principles of Social Evolution, which likewise joins genomes and cells with persons and communities, (first quote) as a confirmation of life’s episodic scale of being and becoming.
Life forms are organized in nested clusters. Genes are bundled in chromosomes that occur in cells. Cells are joined together in multi-cellular organisms, and some multi-cellular organisms, such as bees and ants, live in societies. This hierarchical organization strongly suggests that the amazing diversity of life forms is partly due to the grouping of biological units into higher-level units. Although this idea has been endorsed since the end of the 19th century, it has not been part of the mid-20th century evolutionary synthesis, most likely because it lacked a strong theoretical underpinning (Bourke, 2011). The dynamic underlying the hierarchical organization of life forms has been called major transitions in evolution (Maynard Smith & Szathmáry, 1995). A major transition in evolution occurs when individual organisms become so integrated that they transform into a higher-level organism in their own right. (235)
Kiefer, Kate. Complexity, Class Dynamics, and Distance Learning. Computers and Composition. Article in Press, 2006. Educational classrooms can be seen to express emergent self-organization, wherein student interaction is more effective than in remote, virtual experiences. Check the journal website via Google.
Kolodny, Oren, et al. Integrative Studies of Cultural Evolution: Crossing Disciplinary Boundaries to Produce New Insights. Philosophical Transactions of the Royal Society B. Vol. 373/Iss. 1743, 2018. OK and Marcus Feldman, Stanford University, and Nicole Creanza, Vanderbilt University introduce an update issue for research findings as they take on a life of their own about how small and larger societies evolve and accumulative knowledge. Some entries are Enquire Within: Cultural Evolution and Cognitive Science by Cecilia Heyes, Generative Inference for Cultural Evolution by Anne Kandler and Adam Powell, and Cultural Complexity and Evolution in fluctuating environments by Laurel Fogarty. See also Cultural Evolutionary Theory: How Culture Evolves and Why It Matters by Nicole Creanza, et al in Proceedings of the National Academy of Sciences (114/7782, 2017) and Game Changing Innovations by Oren Kolodny, et al in PLoS One (December 2016).
Culture evolves according to dynamics on multiple temporal scales, from individuals' minute-by-minute behaviour to millennia of cultural accumulation that give rise to population-level differences. These dynamics act on a range of entities—including behavioural sequences, ideas and artefacts as well as individuals, populations and whole species—and involve mechanisms at multiple levels, from neurons in brains to inter-population interactions. In this article we highlight some specific respects in which the study of cultural evolution has benefited and should continue to benefit from an integrative approach. We showcase a number of pioneering studies which illustrate the value of perspectives from different fields for understanding cultural evolution, such as cognitive science and neuroanatomy, behavioural ecology, population dynamics, and evolutionary genetics. They also underscore the importance of understanding cultural processes when interpreting research about human genetics, neuroscience, behaviour and evolution. (Abstract edits)
Lansing, J. Stephen, et al. Adaptive Self-Organization of Bali’s Ancient Rice Terraces. Proceedings of the National Academy of Sciences. 114/6504, 2017. A seven member team from the Santa Fe Institute, Nanyang Technological University, Singapore, Stockholm Resilience Center, and the Medical University of Vienna (Stefan Thurner) add a new level of sophisticated analysis to these anthropologist Lansing studies (search) over two decades about how these mathematical and geometric fractal-like forms arise naturally via coordinated human behaviors. See also a similar work by Ron Eglash and colleagues with regard to African villages and artistic designs.
In Bali, the cooperative management of rice terraces extends beyond villages to whole watersheds. To understand why, we created a model that explores how cooperation can propagate from pairs of individuals to extended groups, creating a resilient system of bottom-up management that both increases and equalizes harvests. Spatial patterns of collective crop management—observable in Google Earth—closely match the predictions of the model. The spatial patterning that emerges is nonuniform and scale-free. Although the model parameters here are tuned to Bali, similar mechanisms of emergent global control should be detectible in other anthropogenic landscapes using multispectral imagery. Recognizing this signature of emergent system-wide cooperation may help planners to avoid unproductive changes to successful bottom-up systems of environmental management. (Significance)