New Paradigms of Meta-System Engineering                      
   a Meta-Knowledge Attempt   ( short white  paper)

For your reference: Adam Maria Gadomski, New Paradigms of  Meta-System Engineering (1999-2004). The ENEA Server web pages :  http://erg4146.casaccia.enea.it/wwwerg26701/gad-mse.html

 

The main viewpoint:

 

 --  SET 2000:  Meta -  and Global Systems Engineering, (1999/2000),  (transparent-sheets>pdf>zip)
    

  -- System Engineering versus Technology Engineering ( Short white paper).

 

 

 

  Basic Explanations


 
    A meta-knowledge explanation (a definition) of meta-system engineering: 
     Let's have a general knowledge about systems (a General Systems Theory), this knowledge can be modified  and developed according
      to certain knowledge conceptualization rules and it can be structured in a form of    models. Here,  generic, domain-independent
    
models of possible models are meta-models, and, in parallel, common and necessary system properties (abstract) of a preselected
      class of systems consist of a meta-system.
     Hence, if we develop meta-systems according to the main engineering paradigm (i.e. a  goal-oriented   construction),  then
  
  this is a  meta-system engineering activity.

     

     For example, a methodologilal rules system which is used for the development of a preselected system, is  its meta-system.

 

     More formally,  if S is a system composed with objects O and given attributes A, and  relations between its attributs consist an

    abstract systems called properties P, then the system composed with Pm P and their interrelations, can be called

    meta-system of S.

    The system S is called reference system or domain system.

 

     In this sense, a global system is composed with many domain systems, their aggregates (systems of systems) and meta-systems.

 

   Remarks:

   - The concept of meta-system and meta-systems are  domains of the study of systemics.

   - The concept meta-system (according to the TOGA meta-theory) is closely related to metaknowledge and metatheory.

 

   Example
    The figure below illustrates, on the meta-system engineering level (of abstraction), the relations between 
    technologies and engineering activities involved in the development of any intelligent system for the management of 
    a concrete large human-machine/technology system.

 

      For instance, using the above conceptual map we may define and specify/identify(*) an artificial intelligent system as follows:

X -system domain knowledge:  Risk processes management, ...
Managerial Knowledge: Social context, ...
AI & Cognitive technologies applied:  Planning technologies, Case-Based Reasoning
Software Technologies: Object-oriented programming supported by Multimedia
Software Engineering methodology: UML + Fast prototyping.
...
and so on.

 Remarks (2004)

In the meta-systemic  sense, meta-system engineering covers such new systemic research and engineering fields, as: 
meta-complexity, meta-knowledge, meta-ontology, meta-modelling and meta-methodology, as well as, classical system theory and socio-cognitive engineering theoretical framework, see also: [Adam Maria Gadomski:  Toward the Identification of the Real-World Meta-Complexity , A-MAZE Seminar, 2004-07-08 ].

These and many other systemic approaches are distinguished in the subject matter literature, by their different "points of view" or basic "keywords". It means, they start from different axioms (explicitly or implicitly accepted) and develop -  frequently intuitively, their own (meta-)/ integrated ontologies.

- It seems, the above context "requires"/(or tends to)  a meta-system ordering and a top meta-meta-perspective. 
 - Here, "looking in deep", we should notice that the reference center of every problem is a human, his/her needs, pleasures and suffering.

- Our symbolic, structured  and scientific knowledge have started from astronomy, evolved in physics, have been multiplied in engineering and technologies in order to become  human-centered (see: sustainable development**)
According to my opinion, in the next step, their will become intelligence-centered **.  During this evolution, the humans'  values and possibilities form a dynamic "reference perspective" which determine together  our "reasonable" choice of the meta-meta systemic axioms and paradigms.
Their attributes slowly become, in parallel , cognitive, social, environmental and economic
. The initial phase of the above process is  illustrated in the ppt presentation on the top of this page [SET200]..
 



(*) identification relates to the modeling of existing systems, specification refers to planned/designed. but  inexistent yet physical or mental entities with a system property. [according to the TOGA metatheory].
(**)
including numerous forms and interpretations of  sustainable development, Google search - 12/08/04: found 3,240,000 docs. For an illustration only, the term " intelligence centered development" is not present on the Web. On the other hand, the term "intelligence-based systems", proposed and well grounded in the frame of socio-cognitive engineering by Gadomski, is at present always more and more frequently used.

Search in: Google "meta-system engineering" OR "meta-systems engineering"  i, meta-system engineeringglobal systems engineering ,

 in Alta Vista  (1 doc, this page only , Dec. 1999)

 

Some Links

 

Charles François, Systemics as a general integrated language of concepts and models (2004)


 


This page has been reviewed by professional editor.

   Go back:  META-KNOWLEDGE SERVER

   MINDWARE- conceptual technology

Mail to: Adam M.Gadomski

© 1996-2001, ENEA. A.M.Gadomski. All intellectual rights reserved. No permission is granted to download and save professional information, images, or any other material from these pages other than for viewing and  citation purposes.  These are informal Research Pages, representing the opinions of the contributors, but not necessarily of ENEA.