Biology Reference
In-Depth Information
Gnergy
3
2
Complementarism
=
Mattergy Liformation
1
BPB
Fig. 5.11
A three-node network representation of
complementarism
3. The uncertainty inequality differs from systems to systems as evident in the
second row. The numerical value of the minimum uncertainty associated with a
given system appears to increase approximately linearly with its material vol-
ume (compare the first two rows).
4. The complementarity pairs associated with their associated uncertainty
inequalities also vary depending on systems (see the second and third rows).
5. The key principles underlying each uncertainty inequality and its associated
complementarity pair depend on systems, the principle of self-organization for
6. Just as the
action
is quantized in physics, so it is proposed here that
life
and
knowledge
are quantized in cell biology and psychology/philosophy (see the
fifth row).
7. Somewhat simplifying, physics may be viewed as the study of
energy
(or
ergons), cell biology as the study of
gnergy
, and philosophy/psychology as the
study of
information
(or gnons) (see the sixth row).
8. One of the most significant conclusions suggested by Table
5.9
is that there is no
overarching uncertainty principle nor is there an associated complementarity
principle but these principles are all
system-dependent
, giving rise to a multi-
plicity of uncertainty principles and complementarity principles:
Uncertainty principles and complementarity principles are system-dependent
.
(5.55)
Statement (5.55) may be referred to as the System-Dependency of Uncertainty
and Complementarity Principles (SDUCP).
9. Table
5.9
strongly indicates that the principles of uncertainty and complemen-
tarity are not confined to physics but are universal. Since complementarism
mentarity and since the principle of complementarity is in turn thought to be
related to that of uncertainty (see the second and third rows, Table
5.9
), the
question naturally arises as to how complementarism may be related not only to
uncertainties but also to other cognate terms such as information (or
liformation
ment (Plotnitsky 2006). One possible way to characterize the multifaceted
relations among these terms is suggested in Fig.
5.11
, utilizing the language of