9 Matching Annotations
  1. Sep 2021
    1. In a seminal paper, “Representational Genera,” the late philosopher of AI John Haugeland argued that a unique feature of human understanding, one machines lack, is an ability to describe a picture or imagine a scene from a description. Understanding representations, Haugeland wrote, depends on “general background familiarity with the represented contents — that is, on worldly experience and skill.” It is our familiarity with representations, like the “logical representations” of words and the “iconic representations” of images, that allow us to ignore scribbles on paper or sounds and instead grasp what they are about — what they are representing in the world. 

      Experience and skill both are temporal capabilities, as [[Venkatesh Rao]] wrote in Superhistory, Not Superintelligence [[Superhistory, Not Superintelligence]]

  2. Jun 2021
    1. The tragedy of the cybernetic revolution, which had two phases, the computer science side and the systems theory side, has been the neglect of the systems theory side of it. We chose marketable gadgets in preference to a deeper understanding of the world we live in.

      [[Mary Catherine Bateson]]

    2. Fascinating conversation with [[Mary Catherine Bateson]]

    1. Quite a few thoughts to be follow through in this: I see a striking connection of Fraser's "Transnationalizing the Public Sphere" and what [[Noema]] recently developed as "The [[Planetary]]".

    1. True communities are simply groups of people who keep coming together over what they care about.

      “Communities feel magical, but they don’t come together by magic.”

  3. Apr 2021
    1. Risk is likened by the authors to a puzzle.  It can be solved by existing information ordered in the right way. Uncertainty is like a mystery – we are missing information and in particular we are beyond the limits of statistical reasoning.  The authors argue that most of the big world decisions we currently face – whether in business, epidemiology or politics – are radically uncertain.  We are operating in conditions of mystery where our knowledge is imperfect and variables are constantly changing.  Climate, economic and social systems are not linear.  They are subject not just to multiple variables and action, but also to what people think.

      Also linked to Bak & Paczuski‘s work on complexity modeling I’d say.

      Bak, P., & Paczuski, M. (1995). Complexity, Contingency, and Criticality. Proceedings of the National Academy of Sciences of the United States of America, 92(15), 6689-6696. Retrieved April 24, 2021, from http://www.jstor.org/stable/2367719

  4. Dec 2020
    1. Boyd’s work demonstrated his mastery of analysis and synthesis. His work drew on a variety of influences, adapting them into a coherent synthetic account of strategy writ large. Osinga lists these influences in the following chronological diagram (p. 121):

      Quite interesting to see, also considering how I feel inspired myself by many sources which are very varied.

      Boyd‘s Inspiration

    2. Individuals or organizations that can understand themselves as complex adaptive systems are at a competitive advantage against those that do not.

      A [[Complex Adaptive System]]