----- Original Message ----- 
  
  
  Sent: Monday, July 25, 2011 8:54 PM
  Subject: Re: [ontolog-forum] intangibles 
  (was RE: Why most classifications are fuzzy)
  
On 25/07/2011 1:14 PM, AzamatAbdoullaev wrote: 
  
    
    
    JS: "The next step beyond predicting how to place your foot on a slippery 
    slope is to design a wakway or a bridge to provide a more secure 
    footing.  Primitive societies learned how to develop that technology by 
    a few steps of cognitive reasoning beyond just trial and error.  Humans 
    did it by thinking, and spiders did it by genetic learning over millions of 
    years.  But the fundamental principles are *exactly* the same."
    Indeed. We learn to do things by doing things: we learn 
    how to perceive by perception/sensing, how to walk by walking, how to 
    communicate by communicating, how to read by reading, by trial and 
    error. You can draw some analogies between doing physical actions by 
    trial and error and problem solving by way of theories, where the 
    hypotheses are a sort of trial. 
    Still it's critical to draw a distinction between the 
    intellectual processes of predictions or anticipations or forecast and the 
    physical interactions by stimulus-response coordination 
  mechanisms.
 
  Why? 
  What is here questioned? That there are higher cognitive processes 
  (as knowing, search, deciding, language, intellection, 
  predicition) and basic cognitive processes (sensing/perception, motor 
  actions). 
  
    
    Remember the mental "eye of the soul" with intellectual intuition, and 
    your unique capacity to see ideas, to grasp the essence of things. 
    For instance, more reliable economic forecasts are done not by various 
    statistical methods, supported by various theories, but by the 
    intellectual insight of prevision.
 
  You have got to be kidding!
   
  AA: "The accuracy of economic forecasting has been reduced 
  by increased uncertainty in the global and national economies snce the 
  early 1970s... Some of the greatest contributions to the economic forecasting 
  ...come from economists who have the insight to understand the changing 
  economy of today" (Britannica, Economic Growth and Planning).
  One is in need to create a whole taxonomy of sources of errors in 
  economic forecasting, global and national: partial theories, ideologies, 
  personal judgments, biases, old or manipulated statistics; no powerful machine 
  is of any help here. 
  The whole global crisis was just missed.
  Only now a comprehensive/holistic approach, named as the FCA and TBL, is 
  getting recognition. Any economic growth and planning economic changes 
  requests accounting not only economic factors, but also ecological capital and 
  social capital.
   
  
    
      ----- Original Message ----- 
      
      
      Sent: Monday, July 25, 2011 6:15 
      PM
      Subject: Re: [ontolog-forum] 
      intangibles (was RE: Why most classifications are fuzzy)
      
      Azamat,
      No.  I gave examples of short-term physical predictions just to 
      illustrate the point.  But every one of those examples can be 
      extended at any length of time whatever.
      > IMO, moving in the physical world, interacting with the 
      world, manipulating with the world's objects, processing the world's 
      instant representations, are hardly about predictions, in the strict 
      sense.
      Predicting your next step on a walkway is of *exactly* the same nature 
      as predicting the weather.  Both of them depend on the same laws of 
      nature:  gravity, the behavior of physical objects in a force field, 
      the relationships among multiple competing forces acting on matter, 
      etc.
      The next step beyond predicting how to place your foot on a slippery 
      slope is to design a wakway or a bridge to provide a more secure 
      footing.  Primitive societies learned how to develop that technology 
      by a few steps of cognitive reasoning beyond just trial and error.  
      Humans did it by thinking, and spiders did it by genetic learning over 
      millions of years.  But the fundamental principles are *exactly* the 
      same.
      The fact that the short-term interactions are learned by trial and 
      error rather than formal lectures in a physics course is a trivial  
      difference from the point of view of ontology.  There is a continuum 
      between a child learning how to maintain balance while walking and 
      engineers using physics to predict how the International Space Station 
      will interact in the gravitational fields of the earth, sun, and moon.
      As far as ontology is concerned, the child and the engineer are 
      learning about gravity and how to maintain a desired position within its 
      range of influence.  They're making the same kinds of predictions for 
      the same reasons -- but at different levels of  complexity on the 
      continuum.
      John
      
      
      
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