grammars are of different types that can build a
hierarchy that corresponds to the reciprocal
inclusion of the defined languages. Grammar is a
language that refers to the language that grammar
defines, i.e., is beyond the defined language – a
metalanguage. This is another hierarchy type than
modularization (of a text) or inclusion (of the
languages due to the stronger rules of the defining
grammar). Its definition is based upon the principle
that each level is a metalevel of its inferior ones.
Further, the language can be symbolic, and symbols
can symbolize other symbols, what reveals another
hierarchy type.
We classified, we symbolized, we divided into
modules, and we reflected an inferior level
(language) on a higher one (grammar). Grammar is a
language, so it has a grammar, which, if isomorphic
to the initial grammar or to the language itself,
would mean that we obtained a reflexive language,
i.e., capable to express itself. Classes, symbols, and
modules permit the construction of a system that
structurally implements a function expressed in a
language, i.e., behavior (Niculiu, 2002). In the same
way, with classes, symbols, and modules, the
behavior of a structurally described system can be
determined. Another hierarchy type, simulation
hierarchy, orders the variety of languages that
describe function and structure. It assists the passing
from the goal function (constrained by functional
parameters) to the structural form, and inversely, to
determine the mathematical function/ physical
behavior of a system (characterized by structural
properties).
Simulation is the relationship between function
and structure. Researching intelligence by
simulating it, to enable intelligent simulation,
demands the study of combined essential
mathematical structures (algebra, order, topology),
to understand the different hierarchy/ abstraction
types. Because it is a hierarchical relation between
static and dynamic structures, and even between
structural and functional, the simulation can
contribute essentially to understand the human mind.
A multihierarchical representation for complex
systems can be formalized in the theory of
categories, object-oriented expressed, symbolically
interpreted, and structurally approached.
Function is a transformation that can be
mathematically formalized, or physically
instantiated as temporal behavior. Structure is a set
of properties that characterize a mathematical or
physical space. The properties can be constant or
variable in time, reflecting static or dynamic
structures. Simulation is the relation between
function and structure. Structured set = (Set,
structure). Language/ system is a generic form of a
mathematical/ physical model. Model results of an
inversion-able representation of the simulation
object. Abstraction is a human defining capacity that
enables him to think. Hierarchy is a functional/
structural concept that fulfils mathematically/
physically the concept of abstraction. Hierarchy is
syntax of abstraction. Intelligence and faith, like any
dichotomy, can converge to integration or can
destroy one another if not associated by Conscience.
God is in us - as the faith is part of our
definition, with us - by the others, and for us – by
the spiritual evolution, that is first conditioned, then
assisted, to be followed by the social one. To
prevent the danger of dichotomy, we concentrate in
three different ways on the unique Reality (Plato):
Art for the art - to look for the essential Way;
Science with God’s fear - to search the existential
Truth; Engineering-technology - to understand the
Being and to concentrate more on the Spirit in our
Life.
The power to abstract is the crucial difference
between human end any other natural being. Divide
et Impera et Intellige applies the hierarchical
expressed abstraction. The abstraction can be
simplifying or reflexive. Intelligent simulation
results by integration in the hierarchical simulation
of the associated knowledge hierarchy, which
represents a reflexive abstraction that converges to
self-awareness of the adaptable intentional
simulation.
2 HIERARCHY TYPES
By a self-aware simulation, we get self-control of
the simulation process. Therefore, we build a
knowledge hierarchy corresponding to the
simulation hierarchy. Then, by expressing both
simulation and knowledge hierarchies in the
reference system of the basic hierarchy types
(classes, symbols, modules), we create the context
for a self-organization of the simulation (Figure 1).
The triad of the basic hierarchy types corresponds to
the fundamental partition of the real life (beauty-
arts, truth-science, good-engineering), that has to be
continuously integrated by philosophy (essence,
existence, being). The absolute functionality is
symbolized by yin-yang, while the waves suggest
hierarchical levels that are increasingly structured
for simulation and knowledge.
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