Analysis: Philosophic and Technical<br />Philosophic:<br />Decompositional<br />Transformative<br />Regressive<br />Techni...
 Regress results in Essence or First Principles of a Thing
  Thus ultimately concerned with what things are, as this “whatness” accounts for how things move and act (hylomorphism)
 Assumes things (substances) have identity
 Central to Classical Model of Science</li></li></ul><li>Analysis: Philosophic and Technical<br />Philosophic:<br />Decomp...
 Subject is Predicate    Subject=Predicate (Leibniz)
 Goal is computational discovery of equations that describe laws of nature (Newton)
 More concerned with how things work that what things are (Bacon)
 Replaces identity of substances with material extension
 Central to Mathematical Model of Science</li></li></ul><li>Analysis: Philosophic and Technical<br />Philosophic:<br />Dec...
 Ensures complete formality of scientific statements and proofs that otherwise rely on intuition and psychologism.  (Frege...
  Aristotle’s description of useful arts (N. Ethics)
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How Analytic is Systems Analysis? Ken Archer

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Ken Archer's fPET-2010 presentation

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How Analytic is Systems Analysis? Ken Archer

  1. 1. Analysis: Philosophic and Technical<br />Philosophic:<br />Decompositional<br />Transformative<br />Regressive<br />Technical:<br />Post-Scientific Art<br />Applied Science<br />Industrial Art<br />Pre-Industrial Art<br /><ul><li> Asks Reason Why of Appearances
  2. 2. Regress results in Essence or First Principles of a Thing
  3. 3. Thus ultimately concerned with what things are, as this “whatness” accounts for how things move and act (hylomorphism)
  4. 4. Assumes things (substances) have identity
  5. 5. Central to Classical Model of Science</li></li></ul><li>Analysis: Philosophic and Technical<br />Philosophic:<br />Decompositional<br />Transformative<br />Regressive<br />Technical:<br />Post-Scientific Art<br />Applied Science<br />Industrial Art<br />Pre-Industrial Art<br /><ul><li> Algebraic Turn in Analysis assigns variables to known facts and unknown reasons (Vieté, Descartes)
  6. 6. Subject is Predicate Subject=Predicate (Leibniz)
  7. 7. Goal is computational discovery of equations that describe laws of nature (Newton)
  8. 8. More concerned with how things work that what things are (Bacon)
  9. 9. Replaces identity of substances with material extension
  10. 10. Central to Mathematical Model of Science</li></li></ul><li>Analysis: Philosophic and Technical<br />Philosophic:<br />Decompositional<br />Transformative<br />Regressive<br />Technical:<br />Post-Scientific Art<br />Applied Science<br />Industrial Art<br />Pre-Industrial Art<br /><ul><li> Extends decompositional analysis with prior transformative step, transforming statements into purely formal, symbolic language.
  11. 11. Ensures complete formality of scientific statements and proofs that otherwise rely on intuition and psychologism. (Frege)</li></li></ul><li>Analysis: Philosophic and Technical<br />Philosophic:<br />Decompositional<br />Transformative<br />Regressive<br />Technical:<br />Post-Scientific Art<br />Applied Science<br />Industrial Art<br />Pre-Industrial Art<br /><ul><li> Trial and Error
  12. 12. Aristotle’s description of useful arts (N. Ethics)
  13. 13. Why didn’t a trial work? Because that’s how this type of thing works.
  14. 14. Shared assumptions of regressive analysis implicit in trial and error
  15. 15. Leads to focus on making tools using existing materials (e.g. wood, water, wind and muscle)</li></li></ul><li>Analysis: Philosophic and Technical<br />Philosophic:<br />Decompositional<br />Transformative<br />Regressive<br />Technical:<br />Post-Scientific Art<br />Applied Science<br />Industrial Art<br />Pre-Industrial Art<br /><ul><li> Trial and Error
  16. 16. Why didn’t a trial work? Because I haven’t created the systemic conditions that make this work.
  17. 17. Shared assumptions of decompositional analysis in trial and error (but engineering still separate from science)
  18. 18. Leads to focus on harnessing power from new materials (e.g. iron, coal and steam)</li></li></ul><li>Analysis: Philosophic and Technical<br />Philosophic:<br />Decompositional<br />Transformative<br />Regressive<br />Technical:<br />Post-Scientific Art<br />Applied Science<br />Industrial Art<br />Pre-Industrial Art<br /><ul><li> Replacement of Trial and Error with Mathematical Science (late 19th to mid 20th centuries)
  19. 19. Engineering no longer a distinct discipline from science as it had historically been
  20. 20. Technical analysis seeks to be identical with algebraic, decompositional analysis of mathematical science
  21. 21. Corresponding reduction of technical analysis and design to problem solving</li></li></ul><li>Analysis: Philosophic and Technical<br />Philosophic:<br />Decompositional<br />Transformative<br />Regressive<br />Technical:<br />Post-Scientific Art<br />Applied Science<br />Industrial Art<br />Pre-Industrial Art<br /><ul><li> Reaction: Technology cannot be reduced to algebraic decomposition and problem solving.
  22. 22. Technology should certainly incorporate scientific knowledge of laws describing how things work. But true technical analysis is not complete without artful, practical knowledge, acquired through trial & error.
  23. 23. Post-scientific technical analysis is increasingly regressive, as applied science is increasingly viewed as incomplete.
  24. 24. Some examples… </li></li></ul><li>Analysis: Philosophic and Technical<br />Philosophic:<br />Decompositional<br />Transformative<br />Regressive<br />Technical:<br />Post-Scientific Art<br />Applied Science<br />Industrial Art<br />Pre-Industrial Art<br /><ul><li> Medicine (see Leon Kass, Sherwin Nuland)
  25. 25. More clinicians assuming human body oriented towards health, even thriving, instead of a complex of material systems that is agnostic towards life or death
  26. 26. This diagnostic assumption leads to prudent bias against invasive tests and procedures, and against prescribing multiple drugs/vaccines</li></li></ul><li>Analysis: Philosophic and Technical<br />Philosophic:<br />Decompositional<br />Transformative<br />Regressive<br />Technical:<br />Post-Scientific Art<br />Applied Science<br />Industrial Art<br />Pre-Industrial Art<br /><ul><li> Software Engineering (see Brian Cantwell Smith, Martin Fowler)
  27. 27. More software engineers view code as intentional, not formal
  28. 28. This assumption leads to code that removes as many dependencies as possible (separation of concerns), such that each aspect of reality (things with identity, properties without identity, logical operations) can be expressed adequately.</li></li></ul><li>Analysis: Philosophic and Technical<br />Philosophic:<br />Decompositional<br />Transformative<br />Regressive<br />Technical:<br />Post-Scientific Art<br />Applied Science<br />Industrial Art<br />Pre-Industrial Art<br /><ul><li> Process & Quality Analysis (see W. Edwards Deming)
  29. 29. More process/quality analysts and managers assuming workers generally oriented towards good work, instead of a unit of energy (e.g. Taylor)
  30. 30. This assumption leads to root cause analyses that assume no human error, Pareto analysis of root causes that makes isolated system changes, focus on agility and elimination of waste over control.</li></li></ul><li>Analysis: Philosophic and Technical<br /><ul><li> What does this mean for technology? (1 of 2)
  31. 31. Critique of technology as desiring mastery of nature (arising from environmental concerns for sustainability, the concerns of classical philosophers of science, etc) appears true.
  32. 32. Industrial arts and applied science are oriented not around discovery of what accounts for a thing’s activity through regressive analysis, but around the (mathematically discoverable) law-like ways that things work with things regarded reductively as decomposable complexes of material parts.</li></li></ul><li>Analysis: Philosophic and Technical<br /><ul><li> What does this mean for technology? (2 of 2)
  33. 33. All this means, though, is that the experiential intuition and regressive analysis of what accounts for a thing’s activity is performed no longer by scientists but by practitioners of the sciences in their technical applications. Technology becoming more humanistic.
  34. 34. When technology is regarded by its practitioners as a mere application of science, it is not applying a complete science, but an incomplete science of mathematical discovery animated by the mastery of nature.</li>

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