Here we need to distinguish identification and specification activities. Both are a modeling, but identification relates to an existing system, where specification relates to a system which does not exist yet and is designed/planed.
If the problem is sufficiently precisely and formally specified/identified, the modeling can also be an automatic process,
1. Model is a relative concept, the same system can be a model for an intelligent agent A but it is not a
model for an intelligent agent B.
2.. Model describes a function (in engineering sense) of a system/process (s/p) , because it includes the
goal-oriented properties of modeled system.
In this generalized sense, "to be a model" denotes function/use of a system/process, not necessarily its
physical specific properties. The same system can be a model of many different modeled entities.
3. Function model (model of function) denotes a selected properties of a given function from the
perspective of another, more specialized goal (application).
4. The concept model does not exist without the concept goal (it can be expressed as a destination,
application or use of a model system/object).
5. The modeling of same s/p for different goals/objectives produces different models.
6. The modeling of same s/p using different conceptualization system produces different models.
Every perceived entity can be modeled as an abstract object by an intelligent agent acting in its domain-of activity.
Therefore a modeling depends on the properties of IA and its domain of observation D.
In the case of a rational modeling. IA reasoning depends on its all IPK (Information, Preferences, Knowledge), they include C and G.
Hence we may write:
MA ( X(D), (IPK -> G, C)
): I (X) --> M |
In the case of a bounded rational modeling, the rational modeling mechanism is influenced/modified or perturbed by emotional and physical properties of IA (denoted by e), frequently not conscious for it/him/her, therefore the expression (2) has to be rewritten as follows:
MA ( X(D), ( IPK -> G, C,
): I (X) --> M' |
At a consequence, the realistic modeling requires an iterative process focused on the minimizing of:
|| FG(G'(M')) - FG (G(M))||
in the problem specific space,
where FG are a functional dependent on the models properties..
interdisciplinary sciences and engineering
In interdisciplinary sciences and engineering
problem of the congruence between necessary for the modeling common IPK
and the sufficient
he problem of the congruence between necessary for the modeling common IPK and the sufficient
and mitigation of the critical aspect of consensus
building n the modern interdisciplinary
mitigation ofe are
the critical aspect of consensus buildingi
n the modern interdisciplinary
and development projects.
Modeling formalism and modeling paradigms (rules) development is a meta-modeling in the meta-knowledge perspective .
(the article in extension yet)