Download Collective Intelligence: Creating a Prosperous World at by Tom Atlee, Yochai Benkler, Thomas Homer-Dixon, Pierre Levy, PDF

By Tom Atlee, Yochai Benkler, Thomas Homer-Dixon, Pierre Levy, Thomas Malone, Rt Hon Paul Martin, Hassan Masum, Robert Steele, Mark Tovey, Six-Penny Graphics

This can be a splendidly stimulating selection of choices at the interaction among human collectives and the "information age." necessarily, a few insights are extra gripping than others--but each one essay by means of the greater than fifty futurists (for wish of a higher time period) engaged during this attempt is worthy interpreting. whereas we might imagine we are frightfully smart and complex in terms of our "information age," it struck this reader that, in terms of info exploitation, we are at some degree corresponding to the mid-seventeenth century within the actual sciences: we have now gotten a few of the uncomplicated parameters discovered, yet have not but all started to appreciate their myriad functions. This quantity is stimulating, necessary, occasionally tremendous, and regularly worthy turning over the web page. Very hugely instructed for these all for intelligence, govt or the media--as good as for electorate all in favour of our collective destiny. mind foodstuff for grown-ups.

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It is also central to the conscious evolution and “Great Story” (seeing evolution as a sacred and meaningful) movements. ), and so on—and the role of diversity, in general, in living systems May we discover ways to bring all these together in the service of humankind. 14 COLLECTIVE INTELLIGENCE: CREATING A PROSPEROUS WORLD AT PEACE A metalanguage for computer augmented collective intelligence Prof. Pierre Lévy, CRC, FRSC1 The semantic interoperability problem The universe of communication opened up to us by the interconnection of digital data and automatic manipulators of symbols—in other words, cyberspace—henceforth constitutes the virtual memory of collective human intelligence.

For instance, in some cases, we’ll find examples of things that work well but we won’t know why from just a case study. So we need to do systematic experiments to help figure those things out. This is the kind of research that would be more often done in a school of science or a school of social science. For example, Sandy Pentland (in the Media Lab), Drazen Prelec (in the Sloan School), and Josh Tennenbaum (in the Brain and Cognitive Sciences department) are all doing different laboratory experiments about different ways of helping groups make predictions more effectively.

The so-called semantic web, despite its technical sophistication, still does not foster the practical progress in the organization and retrieval of collective memory that is expected from it. It suffers from the same limitation of perspective as the artificial intelligence. For its leaders, the task of exploiting the computers for the augmentation of human intelligence is restricted to the automation of logical operations on standard data formats. The design of original symbolic systems for the notation of meaning that could take advantage of the new possibilities of automatic processing at the service of human collective intelligence is not addressed by the semantic web.

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