II. Pedia Sapiens: A Planetary Progeny Comes to Her/His Own Twintelligent Gaiable Knowledge

C. Earthica Learns as a Symbiotic Person/Planet, Collaborative Ecosmo Sapience

Stahl, Gerry. Group Cognition: Computer Support for Building Collaborative Knowledge. Cambridge: MIT Press, 2006. A study of technological and social/educational configurations to facilitate group meaning making, and at the same time are valuable to the individual learner.

Staley, David. Brain, Mind and Internet: A Deep History and Future. Basingstake, UK: Palgrave Macmillan, 2014. An Ohio State University historian situates this latest worldwide faculty and repository of composite knowledge and culture into the long course of its human cognitive achievement. By this expansive view, new continuities and distinctions come into place. Prior expressions of an extended cerebral capacity for symbolic storage since prehistory are surveyed from Andy Clark, David Chalmers, Colin Renfrew to Merlin Donald and others. Similar to a personal brain, a passage from an initial visually associative, analogical phase to a textual linear and logical mode spans the Internet and augurs for their bicameral synthesis. In this vista, a tablet device may at last fulfill the dream of an encyclopedic resource whence all spatial and temporal learning is available at once to everyone.

Steels, Luc. Semiotic Dynamics for Embodied Agents. IEEE Intelligent Systems. 21/3, 2006. An article in a special issue on The Future of Artificial Intelligence provides another intimation of the nascent presence of a collaborative mindkind beginning to learn and know on its own.

Semiotic dynamics builds on many earlier AI developments: the insights into and technologies of semantic networks and knowledge representation from the seventies, the ideas on embodiment and grounding from the late eighties, and the perspective of multiagent systems from the nineties. But all these aspects join together into a new vision on intelligence, with the social, collective dynamics of representation-making at the center. These new AI developments don’t stand in isolation; they resonate with recent developments in linguistics, psychology, and the mathematical study of networks. (32)

Sterelny, Kim. The Evolution and Evolvability of Culture. Mind & Language. 21/2, 2006. The Australian philosopher considers how “cognitive capital” and collective group knowledge came to socially evolve, coalesce, and function.

Stone, Diane. Introduction: Global Knowledge and Advocacy Networks. Global Networks. 2/1, 2002. A special issue of this new journal which addresses the worldwide profusion of knowledge and how it might be of social utility.

Sulis, William. Collective Intelligence. Guastello, Stephen, et al, eds. Chaos and Complexity in Psychology. Cambridge: Cambridge University Press, 2009. The McMaster University psychologist and director of its Collective Intelligence Laboratory provides a tutorial for nascent local and global cognition.

Collective intelligence refers to collective behavior that is stably correlated with ecologically meaningful features of the environment, salient for the survival of the collective, adaptive to changes in the environment, and that transcends the capability of any single member of the collective. (41) It is quite fair to say that the fields of complex adaptive systems (CAS), and to a lesser extent nonlinear dynamical systems (NDS) and the field of collective intelligence have coevolved in a mutually beneficial manner. (65)

Sulis, William. Contextuality in Neurobehavioral and Collective Intelligence Systems. . We note this MDPI entry as the veteran McMaster University clinical psychologist continues his mathematic and quantum imaginations apace (search herein and WS website), which are often about deep ways that human discourse can take on its own cognitive acumen. One hundred references survey many 21st efforts to articulate and verify this insistent natural advance. (In regard, the composite word "Huantum" occurred to me for our own manifest occasion of a quantum state,)

Sunstein, Cass. Infotopia: How Many Minds Produce Knowledge. Oxford: Oxford University Press, 2006. A law professor at the University of Chicago delves into how communications forums such as prediction markets, wiki groups, open source software, and the blogosphere, can deliberately achieve a form of collective learning and decision, or in some cases may not.

Sutton, John. Introduction: Memory, Embodied Cognition, and the Extended Mind. Philosophical Psychology. 19/3, 2006. To a special issue on the various dimensions of socially situated cerebral activity.

Suzuki, Einoshin. Special Issue on Discovery Science. The Computer Journal. 56/3, 2013. A Kyushu University information scientist introduces an array of techniques for gleaning knowledge content from the myriad web pages of our enveloping noosphere. Typical papers are Mutual Enhanced Infinite Community-Topic Model for Analyzing Text-Augmented Social Networks (China), and A Methodology for Mining Document-Enriched Heterogeneous Information Networks (Slovenia), a good sign of its global essence. But one wonders if we could altogether cerebrally imagine, the very thought, question, possibility, of actually discovering a phenomenal genesis universe that exists on its own for our edification. However can this awakening happen, not a day too soon?

This special issue focuses on Discovery Science (DS), which is a scientific discipline on any discovery process that is mainly approached by computer science. DS first started as a national project in Japan involving more than 100 researchers in 1998 and the project gave birth to a series of international conferences on DS, which have been held successfully every year since 1998. The objective of this special issue is to provide a leading forum for timely, in-depth presentation of recent advances in algorithms, theories and applications in the field of DS. Seven papers, ranging in a spectrum from basic theoretical research to solid application research, are included in this special issue. (Abstract)

Szuba, Tadeusz. Computational Collective Intelligence. New York: Wiley, 2001. From a neuroscience and computer basis, the author frames a theory of a progressive, sequentially emergent tendency in evolution toward collective, information housed in a “social brain” from molecules and bacteria to humankind.

Szuba, Tadeusz. Was There Collective Intelligence Before Life on Earth? World Futures. 58/1, 2002. Yes, whereby an impetus toward group cognition and intelligence impels agents or ‘information molecules” to achieve increased organization by interactive communication at each level from bacteria to the biosphere. This implies evolution is a vast learning process, now at the verge of a planetary knowledge.

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