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II. Pedia Sapiens: A Planetary Progeny Comes to Her/His Own Actual Factual KnowledgeC. Earthica Learns as a Symbiotic Person/Planet, Collaborative Ecosmo Sapience Borner, Katy, et al. Studying the Emerging Global Brain: Analyzing and Visualizing the Impact of Co-Authorship Teams. Complexity. 10/4, 2005. This project complements the work of Barabasi, et al (2005, this section) whereby increasingly large collaborations seem to take on the guise of a planetary cerebral and cognitive faculty. The occasion of a collective knowledge, as if an earth that learns at the verge of its own discovery, is quite implied. Work dating back to the ancient Greeks argues that humanity can be seen as a complex social system or super-organism. In this perspective, people are viewed as analogous to nerve cells that are interconnected by communication channels, collectively forming a "global brain." By adopting this philosophy one is led to believe - hope, given the nearly constant human cognitive abilities - that there is a general trend toward the formation of a more global knowledge production and consumption dynamics exploiting the integration of social systems in concert with technological and biological systems. (57) Bosse, Tibor, et al. Collective Representational Content for Shared Extended Mind. Cognitive Systems Research. 7/2-3, 2006. From a special issue on Cognition, Joint Action and Collective Intentionality, a quantitative study of a common group intelligence arising from animal species or human-environment interactions. See also herein Deborah Tollefsen’s From Extended Mind to Collective Mind. Brockman, John, ed.. What to Think About Machines That Think. New York: Harper Perennial, 2015. A collection of answers by 161 men and 27 women to this Edge.Org 2015 question on the imminent ascent of computational intelligence. Almost every authority weighs in, but most worry over some aspect, sans any contextual evolutionary identity or significance. We cite a few quotes that tried to broach, historian David Christian was the only respondent to cite a global cerebration learning on its own, while Cesar Hidalgo gave the achievement a cosmic context (search both). The neuroscientist Stanislas Dehaene wisely notes that artificial devices cannot have the essence of human cognizance – a reflective “global workspace” where one knows that they know, and a “theory of mind” awareness of other persons. Humans added one more level of networking, as human language linked brains across regions and generations to create vast regional thinking networks. This is collective learning. Its power has increased as humans have networked more and more efficiently in larger and larger communities and learned how to tap larger flows of biospheric energy. (38) But in the last 100 years, the combination of fossil fuels and nonhuman computers has cranked it up faster than ever before. As computers forged their own networks in the last thirty years, their prosthetic power has magnified the collective power of human thinking many times over. Today the most powerful thinking machine we know of has been cobbled together from billions of human brains, each built from vast networks of neurons, then networked through space and time, and now supercharged by millions of networked computers. (David Christian 39) Bruns, Axel. Blogs, Wikipedia, Second Life, and Beyond. New York: Peter Lang, 2009. In another example along with Ulieru, Doursat, Banzhaf, Floreano, et al, of the 21st century shift to a natural creativity a Queensland University of Technology computer scientist sets aside old designed “production” methods in favor of a novel “produsage” by virtue of participatory, worldwide, networked “information communities.” Thus rather than hierarchical control from above, contributions and solutions are allowed to prosper via egalitarian, probabilistic, shared intelligences. A copious work that touches on many realms from business, education and media to a global democratic renaissance. Carpenter, Gail, et al. Self-organizing Information Fusion and Hierarchical Knowledge Discovery. Neural Networks. 18/3, 2005. A report from Boston University’s Center for Adaptive Systems on work to develop neural nets that can learn how to learn and recognize salient patterns in large databases. The ARTMAP information fusion system uses distributed code representations that exploit the neural network’s capacity for one-to-many learning in order to produce self-organizing expert systems that discover hierarchical knowledge structures. (287) Cascio, Jamais. Get Smarter. Atlantic Monthly. July/August, 2009. A San Francisco futurist advises we ought to do what evolution has always done to meet challenges: increase our relative intelligence. Which is then seen as much underway from memory and concentration enhancing drugs to the singularity of regnant, brain-like machines. A “Noocene” era, from Teilhard’s Noosphere and a human Anthropocene, is proposed that could gain its own collective sentience. But still sans an abiding philosophy or reason, we hurtle forward with no idea where, how or why. And Pierre Teilhard, it ought be recalled, did not endorse a global homogeny as much as a principle of “creative union” at each evolutionary stage whereby increased community actually will enhance individual freedom. Cheung, William and Jiming Liu. On Knowledge Grid and Grid Intelligence. Computational Intelligence. 21/2, 2005. This paper from the Computer Science Department of Hong Kong Baptist University envisions the Internet evolving from its present information search and mining tools to achieve organic properties of self-organization, growth and reproduction, autocatalysis, semantics and so on. By these qualities, a capacity for wise knowledge of service to individual and social welfare is attained. The next generation Web Intelligence aims at enabling users to go beyond the existing online information search and knowledge queries functionalities and to gain, from the Web, practical wisdom for problem solving. To support such a Wisdom Web, we envision that a grid-like computing infrastructure with intelligent service agencies is needed, where these agencies can interact, self-organize, learn, and evolve their course of actions, identities, and interrelationships for new knowledge creation, as well as scientific and social evolution. (111)
Chorost, Michael.
World Wide Mind: The Coming Integration of Humanity, Machines, and the Internet.
New York: Free Press,
2011.
There really is something “in the air” today, not only a life-friendly genesis universe, but humankind’s emergent, “wired,” cognitive faculty whom is accomplishing this revolution. Michael Chorost is a science writer with a doctorate in computers and cultures from the University of Texas, Austin. His previous book Rebuilt: My Journey Back to the Hearing World, (Mariner Books, 2006) told how he received cochlear, inner ear, electronic implants that restored audio abilities. With his neuroscience background, the result is a well-researched endeavor to imagine, assimilate, and properly avail this enveloping cerebration that so consumes our hours. In our daily midst, it is said, dawns a “coming global intelligence” with a modicum of “collective communication” and “an intentionality and consciousness of its own.” But the French Philosopher Pierre Teilhard de Chardin presents a more positive and encouraging theory of collective mind. Born in 1881, Teilhard was a remarkable combination of priest and scientist. As a Catholic, he was steeped in a theology deeply suspicious of evolution. Yet as a paleontologist, he understood evolution intimately. He aimed to reconcile these competing worldviews in his book The Phenomenon of Man, which was published after his death in 1955. (162) Teilhard saw human consciousness as the latest stage in that evolution. What must come next, he suggested, is the binding of individual human beings into a collective entity. He called this entity the noosphere, the mind-sphere, by analogy with the term “biosphere. (162) 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.
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