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Emergent day to you. 2010-04-22 is my knowmad birthday. Think I understood the word. More to emerge.
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    Monica Anderson explains.

    Reductionism is an amazingly powerful strategy for leveraging the work of scientists and for disseminating the results in the form of re-usable models of structure and causality. But for some of the "remaining hard problem domains" such as Life (biology, psychology, ecology, etc), the World (world modeling, economies, sociology), Intelligence (understanding the brain, intelligence, and creating Artificial General Intelligences - AGI) and the problem of determining the semantics of language (e.g. text) Reductionism has failed. I claim that reductionist models cannot be created in these domains (which have been named "Bizarre Domains") and that we must use Model Free (Holistic) Methods for these domains. This has important implications for AGI research strategies.

    "AI is the last holdout of pure reductionism, if you will."


    AGI: Artificial General Intelligence. In later lectures she uses AN: Artificial iNtuition.

    Slow down and enjoy the presentation. 31:22
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    Models vs. Patterns by Monica Anderson

    Grasping how things are. Why understanding comes first, before reasoning, and what role pattern matching plays.

    The most common question in the Q&A after my Model Free Methods talk was "Aren't those Holistic Patterns really a kind of Models?" In order to clarify this issue I created this presentation. I also talk about Reductionist and Holistic approaches to aiming a cannon.


    See also the whitepaper by Monica Anderson A Radical Approach to Understanding Text (pdf download).
    Sun, Aug 22, 2010  Permanent link
    Categories: future, data, polytopia, learning, artificial intuition
    Sent to project: Polytopia
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    Monica Anderson discusses the ongoing paradigm shift - the "Holistic Shift" - which started in the life sciences and is spreading to the remaining disciplines.

    Model Free Methods (also known as Holistic Methods) are an increasingly common approach used on "the remaining hard problems", including problems in the domain of "AI" - Problems that require intelligence. She illustrates this using a Model Free approach to the NetFlix Challenge.

    The ideas we are talking about are that the brain works using Intuition and Prediction, not Logic; that Intelligence is 99% Intuition; that Intuition based methods allow short-term prediction in Bizarre problem domains; that they also allow Discovery of Semantics from mere observations of chains of events such as those in spatiotemporal sequences; that artificial systems based on these ideas can learn and understand languages and partially understand the world using only text as input

    My rough estimate is that over a million person-years has been spent on AI and closely related topics worldwide

    Monica Anderson
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