Methodological triangle of scientific languages

1
Methodological triangle of scientific languages
Pavel Luksha (in collaboration with Alexander
Plekhanov)

• Presentation for INTAS seminar
• 9-10 March 2003, Berlin

2
The quest for unification of languages

• Our initial goal for the Task 2 is
• introduction of a unified language that is able
  to transdisciplinary take into account the
  various tasks of the different regions of
  research dealing with human strategies in
  complexity,which is a part of a Meta-Task of
• introduction of a unified scientific language for
  transdisciplinary research that adequately and
  efficiently embodies different transdisciplinary
  approaches and supports/improves subject-specific
  research

3
Layers of abstraction
maximal level of abstraction (little or no
consideration of morphology)
focus on general macro-properties, top-bottom,
systemic approaches realm of complexity
focus on micro-properties, bottom-up,
physicalist approaches realm of simplicity
maximal level of specificy (full consideration
of morphology)
4
Methodological triangle
systemic picture of the world (information
/cybernetic approach,GST etc.)
physical picture of the world (quantum
theory, thermodynamics etc., physical/chemical
models)
morphology-specific approaches pictures of the
world produced by specific sciences (biological,
social etc.)
5
M-triangle apexes and internal space
abstact mathematics
synergetic approach?
boundary sciences integrated into physical world
view engineering, biochemistry, biophysics,
medical science, neurophysiology etc.
boundary sciences integrated into systemic
worldview bioinformatics, socioinformatics,
systemic social theories
Quest for unification seeking integrative
approaches, sufficiently abstact to be
interdisciplinary, that could be applied to both
simple and complex systems, BUT realizing of
inevitability of reductionism in any formalized
approach, and inability to fully capture features
offered by languages on other sides of M-triangle