Cell Language Theory, The: Connecting Mind And Matter

274 The Cell Language Theory: Connecting Mind and Matter

b2861 The Cell Language Theory: Connecting Mind and Matter “6x9”

(see Table 6.6), all of the 10 c-signs in Table 6.7 can be represented with

simply as Si,j,k with the sub-indexes obeying the following rule:

i ≤ j ≤ k (6.9)

where the symbol “≤” reads “less than or equal to” or “not greater than”.

The rules given in Eqs. (6.8) and (6.9), which are equivalent, will be

referred to as the “Peircean selection rule” (PSR).

6.6.3 Derivation of the 10 Classes of Signs from Nine Types

of Signs Based on the Analogy between e-Signs and Quarks

in Elementary Particle Physics

To the best of my knowledge, Peirce did not provide any clear justification

as to why three (and not some other numbers) of e-signs constitute a

c-sign. This gap may be filled by the postulated “isomorphism” between

quarks and e-signs as explained in Table 6.8.

If the “isomorphism” between the elementary particles and Peircean

signs is real as claimed in Table 6.8, we can make the following

predictions:

(1) Just as baryons form atoms in interaction with electrons, so may

c-signs form higher-order signs in interaction with the electron ana-

logs of semiotics, which may well turn out to be the sign processor,

leading to a tetrahedron (the usual triangle with an extra node above

it) as a geometric representation. This sign tetrahedron (in contrast to

the traditional sign triad) may be called the “atomic signs”.

(2) Atoms form molecules through covalent (or strong) bonds.

Similarly, “atomic signs” may form “molecular signs” through

“strong bonds”.

(3) Just as molecules form molecular complexes (e.g., enzyme–substrate

complexes) through weak non-covalent bonds, so “molecular signs”

may interact through weak bonds to form “sign complexes”. The

“semions” proposed by R. R. Gudwin [293] may be viewed as an

example of “sign complexes” defined here.

(4) Inside the living cell, molecular complexes interact selectively, form-

ing dynamic networks of molecular complexes. Likewise, “sign

b2861_Ch-06.indd 274 17-10-2017 12:04:14 PM