II. Planetary Prodigy: A Global Sapiensphere Learns by Her/His Self
C. Mindkind Sapiensphere: WorldWise Collective Intelligence
Christakis, Nicholas and James Fowler. Connected: The Surprising Power of Our Social Networks and How They Shape Our Lives. New York: Little, Brown, 2009. Reviewed more in Current Vistas, one of the strongest testaments so far of the evolutionary and historic rise of a superorganic human society that is beginning to learn and think "on its own."
Christensen, Wayne. Self-Directedness, Integration and Higher Cognition. Language Sciences. 26/6, 2004. In an issue on “Distributed Cognition and Integrational Linguistics,” a University of KwaZulu-Natal philosopher considers how persons converse and learn within a social milieu. The premise of this school is that cognitive processes now reside beyond individual human brains amongst people and artifacts such as computers and libraries, broaching on a collective intelligence and thought.
Christian, David. World History in Context. Journal of World History. 14/4, 2003. A scholarly proposal to accompany his book Maps of Time that historians need to situate the study of specific events in a global arena, and then expand further to a cosmic evolutionary frame, in order to fully appreciate what is going on. Once again, a “collective learning” of human societies is noted as the most distinguishing human attribute. Once again, Natural Genesis is based on this very premise that a composite knowledge now graces the earth and needs to be recognized, gathered and documented.
Clark, Andy. Supersizing the Mind: Embodiment, Action, and Cognitive Extension. Oxford: Oxford University Press, 2008. The University of Edinburgh philosopher, along with David Chalmers who writes a Foreword, advocates that a person’s mental activity is not confined to a brain, but extends into a technologically communicative society such that ones mindfulness imbues this expanded compass. Our interest is piqued for such a view seems to imply the nascent presence of a local and global cerebral faculty and cogitation.
Clery, Daniel and David Voss. All for One and One for All. Science. 308/809, 2005. An introduction to a special section and update on a worldwide “Distributed Computing.” Typical articles are Service-Oriented Science by Ian Foster and Cyberinfrastructure for e-Science by Tony Hey and Anne Trefethen.
Cobb, Jennifer. Cybergrace. New York: Crown, 1998. An IT professional views the Internet as an embryonic world sensorium with an integrative and spiritual potential to inform, heal and empower a humane earth community.
Combs, Allan and Stanley Krippner. Collective Consciousness and the Social Brain. Journal of Consciousness Studies. 15/10-11, 2008. Wise neuropsychologist elders observe ”similar dynamical patterns” of coherent neural networks to grace both brains and human groups, each capable of a unified sense of awareness, cognition, and knowledge. See also in this issue on Social Approaches to Consciousness a paper by Robert Turner and Charles Whitehead on How Collective Representations Can Change the Structure of the Brain.
Dankulov, Marija, et al. The Dynamics of Meaningful Social Interactions and the Emergence of Collective Knowledge. Nature Scientific Reports. 5/12197, 2015. In a paper that again offers a marriage of physics and peoples, systems mathematicians Dankulov and Bosiljka Tadić, Jozef Stefan Institute, Slovenia, and Roderick Melnik, Wilfred Laurier University, Canada, find condensed matter principles to be similarly exemplified in human sociality where they foster a dynamic, self-organized cooperation. As a result, viable “knowledge building and sharing communities” are achieved.
In modern statistical mechanics, it has been recognized that the collective phenomena arise from interactions among the elementary units via a spontaneous transition to an organized state, which can be identified at a larger scale. Recently, this unifying principle is gaining importance in other natural sciences, for instance for elucidating organization in living systems, emergence of coherent activity in neuronal cultures, and developing computational social science. In social systems, interactions and cooperations among actors can lead to the recognizable collective behavior, for instance, the development of collective knowledge, appearance of common norms or language. The quantitative study of the stochastic processes underlying these social phenomena utilizes the methods of statistical physics supported by analysis of the plethora of online empirical data. Some illustrative examples are the appearance of good and bad conduct in online games and groupings induced by the exchange of emotional messages on social sites. However, a deeper understanding of the mechanisms of collaborative social endeavors remains a serious challenging problem in physics and social dynamics modeling. (1)
Davidson, Cathy and David Goldberg. The Future of Learning Institutions in a Digital Age. http://mitpress.mit.edu/9780262513593. An online MacArthur Foundation report which is also available in paper from MIT Press, and is to be expanded into a 2010 book. Computer revolutions have engendered a world-wide community access to the entire corpus of human knowledge, which then challenges educational endeavors to keep apace.
Davies, John, et al, eds. Semantic Web Technologies. Chichester, UK: Wiley, 2006. The global computer Internet is under revision and reinvention based on a new generation of interactive ontologies and protocols to better foster information accessibility, commerce, and dialogue. The name given is Semantically Enabled Knowledge Technologies whose many dimensions are explored herein from annotation principles to digital libraries.
De Rosnay, Joel. Symbionomic Evolution: From Complexity and Systems Theory to Chaos Theory and Coevolution. World Futures. 67/4-5, 2011. Some three decades after his The Macroscope, the French futurist, author, MIT PhD in biology, continues to envision the imminent appearance of a worldwide “macro-organism,” a planetary person, arising from these universally active self-organizing forces. “Symbionomic” is his composite for the many facets of this scientific dynamical revolution, to designate this globally interrelational “emergence of collective intelligence.”
One of the great challenges of the modern world is the control and management of complexity. After the infinitely large and the infinitely small, we once again find ourselves confronting an unfathomable infinite—the infinitely complex. With its capability for simulation, the computer has become a macroscope. It helps us understand complexity and act on it more effectively to build and manage the large systems of which we are the cells—companies, cities, economies, societies, ecosystems. Thanks to this macroscope, a new vision of the world is emerging, based on a unified approach to the self-organization and evolution of complex systems. On the basis of this comprehensive vision, it becomes possible to describe the origin of a new form of life on Earth, a planetary macro-organism made up of human beings and machines, networks, and nations—a still-embryonic macro-organism that is trying to live in symbiosis with the planetary ecosystem. This new vision of the world brings together two complementary modes of analysis and action: the analytic method and the systemic approach. It can be called the unified theory of the self-organization and dynamics of complex systems.
De Wolf, Tom and Tom Holvoet. Emergence versus Self-organization. Brueckner, Sven, et al, eds. Engineering Self-Organizing Systems. Berlin: Springer, 2005. In a volume which seeks a scientific practice more in accord with a dynamically viable nature, Belgian computer scientists advise that this project need avail itself of a synthesis best informed by far-from-equilibrium complex adaptive systems.