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  1. 2022年12月25日 · Description. 1.From the Wikipedia: “Noology, or Noölogy derives from the ancient Greek words νοῦς, nous or "mind" and λόγος, logos. Noology thus outlines a systematic study and organization of thought, knowledge and the mind.In the Critique of Pure Reason, Immanuel Kant uses "noology" synonymously with rationalism, distinguishing ...

  2. Their novel initiative, called GreenXchange, aims to allow companies to share intellectual property for green product design, packaging, manufacturing, and other uses. If it succeeds, this budding coalition could accelerate innovation across companies and sectors. At minimum, it stands to rewrite the rules about how companies share.

  3. Description. Jean-Francois Noubel: "We name holomidal collective intelligence the new form of collective intelligence that emerges thanks to the Internet. Local and global, decentralized and distributed, agile, polymorphic, based on leadership, individuation, open source, integral wealth and mutualist economy, this young form of collective ...

  4. San Pisith is a Buddhist Monk and an Early Stage Researcher at Ragnar Nurkse Department of Innovation and Governance. He has joined the Cosmolocalism project since September 2019 to pursue a Ph.D. at TalTech, Estonia. His Ph.D. thesis focuses on Buddhist Economics, Buddhist Governance, Commons, and Happiness and Public Purpose.

  5. Description. "Pastry is a generic, scalable and efficient substrate for peer-to-peer applications. Pastry nodes form a decentralized, self-organizing and fault-tolerant overlay network within the Internet. Pastry provides efficient request routing, deterministic object location, and load balancing in an application-independent manner.

  6. 2014年1月12日 · The vectoral class comes into its own once it is in possession of powerful technologies for vectoralising information. The vectoral class may commodify information stocks, flows, or vectors themselves. A stock of information is an archive, a body of information maintained through time that has enduring value.

  7. Learning II is learning to learn. Learning III - Hyper-complexity: Learning III is a change in the process of Learning II, e.g. a corrective change in the system of sets of alternatives from which a choice is made. It works much as Learning II but on a higher level of abstraction. Bateson points out that this level of learning is never achieved ...

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